JP2023104045A - Primary industry product information collecting system - Google Patents

Abstract

To provide a primary industry product information collecting system that collects data regarding products of the primary industry by a wire-mobile network to harvest a large amount of high-quality products, and significantly reduces a production cost.SOLUTION: A primary industry product information collecting system 1 in which support rods installed in a farm field 11 are connected with each other by a wire 13 to form a wire-mobile network, and which collects image data and identification data of products 12 by wire-mobile imaging camera 3 and wire-mobile sensor 4, where the image database 19a and the identification database 19b are stored in an analysis result database 19c on a cloud 18 and analyzed by an AI analysis software 16 through communication, and an analysis result is provided for a portable terminal 6a or the like of a producer 20 of the farm field 11.SELECTED DRAWING: Figure 1

Description

The present invention relates to a primary industry product information collection system, and in particular, vinyl houses for agricultural products including horticultural crops and craft crops, fish tanks including fish farms for aquaculture or farming, cattle barns and This refers to the primary industry that cultivates or raises products such as cattle, pigs, and chickens on livestock farms such as poultry farms. Then, a wire-moving network is constructed in these fields, image data in the field is captured by a wire-moving imaging camera that travels on the wire, or identification data is acquired by a wire-moving sensor, and high The purpose is to grow or raise a large amount of quality products. These image data and identification data enable the early detection of diseases and pests occurring in products, and the automatic confirmation, monitoring, and grasping of conditions 24 hours a day, including at night, regarding the degree of growth and health of products. Furthermore, it is possible to predict the harvest amount, etc., but it can be used for other purposes as well. In the present invention, places where products are grown, such as plastic greenhouses for agricultural products in the primary industry, water tanks for aquaculture or farming, livestock barns and pastures, are collectively referred to as "fields." In addition, production facilities used for agriculture, fisheries, livestock, etc. are collectively included in "fields."

The so-called "primary industry" in the present invention refers to an industry that works on the natural world to directly obtain a harvest, and is distinguished from the secondary industry, which is a production system using machinery, or the tertiary industry, such as the service industry. Primary industries include, for example, agriculture, fisheries, and livestock, but are not limited to these industries. Any industry in which the method is possible is included in the "primary industry" herein.

In recent years, in these primary industries, attempts have been made to industrialize production in order to harvest high-quality products in large quantities. The degree of this industrialization differs for each primary industry. For example, in agriculture, crops are grown and harvested in artificial environments such as vinyl greenhouses and container plant factories. For example, in fisheries, not only the hunting method of capturing organisms that inhabit the natural world, but also the aquaculture method and cultivation method of growing and harvesting organisms in their habitat environment are being developed. Here, the farming fishery is a fishery in which fishes and shellfishes are cultivated from eggs to juveniles, then the fishes and shellfishes are released into the sea, and the fishes and shellfishes grown in the natural sea are caught. On the other hand, aquaculture fishery is a fishery in which fish and shellfish are raised in an artificial environment such as a tank or a fish tank until they reach the shipping size. On the other hand, in livestock farming, cattle, pigs, and chickens are the target products. A method of breeding chickens and the like has been tried.

Since these primary industries raise and raise living things in the natural world, they are affected by the effects of climate change, such as disasters caused by typhoons, tsunamis, and tornadoes, and the effects of nature such as marine and air pollution. In addition, fisheries are susceptible to changes in ocean currents and the like. In addition, infection of epidemics in products by viruses and pathogens has become a problem. In addition, in aquaculture tanks, it has been proposed to provide an environment such as optimum water temperature, water flow, and water quality for the products, and to raise the products such as fish and shellfish without excessive stress. In addition, in livestock farms, attempts have been made to grow animals such as cattle, pigs, and chickens in an environment that is optimal for the growth of the products, such as temperature, humidity, and air volume, and to grow them without giving stress to them.

On the other hand, the number of workers in Japan's primary industry is aging, and it is expected that the working population will decrease sharply in the future. Especially in agriculture, people are forced to work long hours in an unnatural posture with their backs bent. In addition, long working hours are forced in working environments such as underwater and above water in fisheries, and outdoors and indoors on land in aquaculture. In the livestock industry, feeding animals such as cows, pigs, and chickens, and cleaning cowsheds, pigsties, poultry houses, and the like are indispensable every day, and long working hours are forced. In this way, the primary industry raises or grows products in the natural world, so there are many cases where the working environment is harsh. It is difficult to find and secure a stable industry, and it is a major factor that prevents new entrants, such as inexperienced people including young people, from entering the primary industry.

In Patent Document 1, a cultivation room and a growth analysis device are constructed to determine the optimum cultivar and cultivation method for the weather conditions of a specific region, and the entire growth process is monitored as image product information, and necessary Providing product information to agricultural producers and the like is disclosed. Here, a cultivation room equipped with a weather control device that adjusts the indoor weather conditions is controlled according to the data measured by the weather data observation device installed in the specific farmland and the database product information of the meteorological agency. Create an environment that mimics the weather conditions of other meteorological observation sites, capture the entire growth process of crops growing in the environment with a camera, import image data, and use the image data to obtain numerical values regarding the growth and morphological characteristics of plants. It is described that the converted measurement data is analyzed to create a database, and image data, measurement data, and analysis data are provided to agricultural producers and the like through the Internet, etc., together with weather data and genetic product information of crops.

Patent Literature 2 discloses (1) a method for appropriately managing and inspecting crops, especially Japanese yam. Here, a moving body is moved over a field of crops, and an image captured by a visible light camera or an infrared camera mounted on this moving body and/or a multispectral image recorded by electromagnetic waves in a plurality of wavelength bands is captured. (2) Measure the concentration of nitrate ions in the juice squeezed from the crops, and analyze the images obtained from (1) above and the nitrate ion concentration measurement results obtained from (2) above. It is described that each step of the process of performing management and inspection necessary for growing crops such as the necessity of additional fertilization and the presence or absence of pests is carried out.

Japanese Patent Laid-Open No. 2002-200001 discloses an imaging apparatus using ropes and wires capable of recording images that could not be captured until now. Here, ropes and wires are installed in spaces and places where people cannot move, and filming equipment can be freely moved around the wiring part, and the shooting location can be selected from a location other than the shooting position where people can move. An imaging device is disclosed that can.

Japanese Patent Application Laid-Open No. 2003-47340 Japanese Patent Application Laid-Open No. 2021-73925 JP 2010-128488 A

As mentioned above, in Japan's primary industries such as agriculture, fisheries, and livestock, the workers are aging and the working population is declining remarkably. As a result, the current cultivated area must be cultivated by fewer farmers, and there is a problem that the amount of agricultural work per person will certainly increase. Furthermore, in farm work, workers are forced to work hard for long hours in an unnatural posture, bending their backs. Furthermore, there is a problem that agriculture is susceptible to natural influences such as typhoons, earthquakes, droughts, tornadoes, and heavy rains.

In addition, various pests and diseases occur in agriculture, and a great deal of money and labor is spent on their control. In particular, due to the effects of global warming in recent years, there is a problem that the damage caused by diseases and pests is expanding, and diseases and pests that have never occurred before occur.

In addition, in the fishing industry, due to the influence of marine pollution, etc., pests of fishes and shellfishes are occurring, and a great amount of money and labor is spent on controlling them. In particular, due to the effects of global warming in recent years, there is the problem of the spread of damage caused by diseases in fish and shellfish, as well as the emergence of diseases that have never occurred before.

Furthermore, in livestock farming, there is a problem that livestock such as cattle, pigs, and chickens are stressed by the effects of global warming, air pollution, and pathogenic bacteria such as viruses, which adversely affects the growth of products. .

One purpose of the present application is to solve such problems, improve the harsh working environment of primary industry producers, encourage new entrants such as inexperienced people including young people to enter the primary industry, and To make the primary industry attractive by providing inexperienced producers with expert know-how that requires advanced expertise such as early detection of diseases and pests, and promoting the entry of new entrants such as inexperienced people including young people. It is to be.

In addition, another purpose of this application is to enable producers in remote areas far away from primary industry fields to monitor field conditions in more detail in real time, utilize databases to “smartize” primary industry production, and limit production. The goal is to get more done with the available labor force.

Furthermore, another object of the present application is to grasp the growth rate and health condition of primary industry products 24 hours a day, 365 days a year, and to make it possible to predict the yield of products.

In order to achieve the above object, the primary industry product information collection system according to the present invention forms a wire mobile network by connecting posts installed in fields where products are produced by wires to form a wire mobile network. A primary industry product information collection system comprising a moving wire imaging camera that moves and captures image data of a product and a moving wire sensor that collects identification data of the product, wherein the image data and the identification data are , is stored in a database on the cloud by communication, analyzed by AI image analysis software, and the analysis result is provided to the receiving terminal of the producer in the field.

With the above configuration, in the primary industry product information collection system according to the present invention, a wire mobile network is constructed in a field for growing products of primary industries such as agriculture, fishery, and livestock industry. Image data of the product can be collected by a wire-moving imaging camera that freely moves in this wire-moving network. In addition, product identification data can be automatically collected by a wire-moving sensor provided together with a wire-moving imaging camera. With these, for example, it is possible to detect and diagnose pests of products, record the growth and growth diagnosis of products, and record the feed of products, making the primary industry smart and attractive. Greater efficiency can be achieved with labor force.

In addition, by analyzing the collected image data and identification data with AI and comparing them with past big data, it is possible to prevent pests and diseases of products, and to predict the growth and yield of products through early detection and diagnosis. It becomes possible. Furthermore, by utilizing AI, the labor of producers who produce products can be reduced, making the primary industry an attractive industry.

In addition, in the primary industry product information collection system, AI image analysis software analyzes image data or identification data collected by a wire-moving imaging camera and a wire-moving sensor to identify the type of product from the characteristics of the product. Preferably, it is recognized and stored in a database. As a result, individual products can be recognized, and the products can be managed in detail.

In addition, in the primary industry product information collection system, AI image analysis software identifies the individual characteristics of the product from the image data or identification data of the product, attaches an individual identification number to each product, and the image data or It is preferable to store the identification data in a database together with the recognized type in association with the individual identification number. As a result, individual products can be recognized, and the products can be managed in detail.

Also, in the primary industry product information collection system, the wire-moving imaging camera and the wire-moving sensor recognize individual features of the product from, for example, leaf vein data, leaf shape data, color data, and pattern data of plants, It is preferable to store the leaf vein data, leaf shape data, color data, and pattern data of the plant associated with the individual identification number in a database. In this way, by acquiring leaf vein data, leaf shape data, color data, and pattern data of a plant, it is possible to perform individual authentication, and it is possible to respond to the plant in detail, thereby improving productivity.

In addition, in the primary industry product information collection system, the wire-moving imaging camera and the wire-moving sensor can, for example, extract livestock facial data, coat data, pattern data, bark data, gesture data, motion data, and odor data from the products. It is preferable to identify the characteristics of each individual, and store in a database the facial data, coat data, pattern data, cry data, gesture data, movement data, and odor data of livestock linked to the individual identification number. In this way, by acquiring face data, coat data, pattern data, bark data, gesture data, motion data, and odor data of livestock, it is possible to perform individual authentication, and fine-tuned responses to livestock are possible, improving productivity. be able to.

In addition, in the primary industry product information collection system, a wire-moving imaging camera and a wire-moving sensor can detect the characteristics of individual products from, for example, fish scale data, overall shape data, part shape data such as fins, and pattern data. It is preferable to store in a database scale data, overall shape data, part shape data such as fins, and pattern data associated with individual identification numbers. By acquiring fish scale data, overall shape data, part shape data such as fins, and pattern data in this way, it is possible to perform individual authentication, and it is possible to make detailed responses to fish, thereby improving productivity.

In addition, in the primary industry product information collection system, near the point where the wire of the wire-moving network and the wire-moving imaging camera and wire-moving sensor are connected, there are pulleys for pushing the wire upward, and on both sides of the pulley It preferably consists of a plurality of idler pulleys positioned to push the wire downward, the pulleys being coupled to a motor for rotational movement to advance the pulleys along the wire. This pulley and a plurality of idler pulleys introduce an initial tension in the wire to tension it against the pin, reducing wire slack and vibration.

Further, in the primary industry product information collection system, the wire-moving imaging camera and the wire-moving sensor may be connected by a length adjustment part that can adjust the distance in the height direction depending on the position where the pin is inserted into the long hole. preferable. As a result, the wire-moving imaging camera and the wire-moving sensor can be freely set to optimal length positions from the sensor control section.

In the primary industry product information collection system, the wire-moving imaging camera and the wire-moving sensor are integrated with the sensor control unit by the length adjustment unit, and the pulley interlocked with the rotation of the motor rotates on the wire. Running is preferred. As a result, the moving body can be moved forward or backward on the wire by the pulleys in conjunction with the rotation or reverse rotation of the motor.

In the primary industry product information collection system, the wire-moving network includes a linear moving part in which a moving body having a moving-wire imaging camera and a moving-wire sensor moves linearly, and a moving part in which the moving body moves in a curved line. a curvilinear traverse, wherein the traverse is the cumulative traveled distance or curve of the linear traversal from a particular starting point stored in the database with respect to the position on the wire-moving network of the product stored in the database; It is preferable that the position can be detected from the history of the accumulated moving distance of the moving part. Thus, for example, as shown in FIG. 12, by combining linear and curvilinear movements, a large field can be efficiently covered, and for a product with a specific individual identification number, a wire-moving network can be specified by calculating from the accumulated history of the movement distance of the linear moving part.

Further, in the primary industry product information collection system, the wire-moving imaging camera is connected to the wire by a forward moving body and a rear moving body each having a front wheel and a rear wheel, and the distance between the forward moving body and the rear moving body is adjusted. It is preferable to set the photographing position in the vertical direction according to the product by adjusting the angle of the hanging wire. As a result, as shown in FIGS. 8(b), 10(b), 14, etc., it becomes possible to adjust the height at the time of photographing using a plurality of wire-moving imaging cameras and image data or identification data. , image data or identification data of the product can be easily collected by the wire-moving imaging camera and the wire-moving sensor.

Further, in the primary industry product information collection system, a wire running rail is formed by shaped steel processed into a curved shape in the curved moving part, and the moving body can move in a curved shape along the shaped steel. Preferably. This is the detail shown in FIG. 13 that enables the construction of curvilinear mobile network 25 shown in FIG. This makes it possible to reinforce the non-rigid wire with the shaped steel processed into a curved shape, and to run the wire-moving imaging camera and the wire-moving sensor in a curved shape.

Further, in the primary industry product information collection system, the moving body changes its moving direction around the support in the curved moving part supported by the supporting support, and the traveling direction of the wire moving imaging camera is changed to the adjacent straight moving part. is preferably redirected to This allows the construction of curvilinear mobile networks as shown in FIG. In this way, by alternately connecting the linear movement section and the curved movement section, a wide field can be efficiently covered by the wire movement type network.

In addition, when the moving bodies collide with each other because the wires cross each other, the primary industry product information collection system uses one wire as the main wire and moves the main wire, for example, as shown in FIG. It is preferable that the body is preferentially passed through, the other wire is used as the secondary wire, and the moving body that moves the secondary wire is turned back at the intersection to avoid collision. As a result, the spraying of water, fertilizers, pesticides, and herbicides on the products, which was conventionally done by producers in the primary industry, will be finely automated by the wire-moving network, enabling significant labor savings. Become.

In addition, when the wire-moving sensor detects that a vermin or bird has entered the field, the primary industry product information collection system automatically detects the damage from a speaker suspended from the wire-moving network. Emit a sound that the beast or pest dislikes, or emit a light that frightens the pest or bird from a light suspended from a wire mobile network, or emit an odor from the sprayer that the pest or pest shuns. It is preferred to repel vermin or bird pests by either As a result, vermin or birds that enter the field are detected by the wire-moving sensor, and can be repelled by emitting sounds, lights, and smells that keep the vermin or birds away.

In addition, the primary industry product information collection system automatically moves a sprayer containing water, fertilizer, pesticide, or herbicide to a predetermined position in the field via a wire-moving network. In addition, it is preferably sprayed onto a more suitable product. As a result, water, fertilizers, pesticides, and herbicides can be automatically and remotely supplied to the producer in the field, and the labor of the producer can be reduced.

In addition, in the primary industry product information collection system, when the leaves of the product block the line of sight of the wire-moving imaging camera, the sprayer automatically blows air onto the leaves to prevent the wire-moving imaging camera from It is preferable to secure the line of sight of As a result, the health condition of the underside of the leaf of the plant can be easily confirmed by the wire-moving imaging camera and the wire-moving sensor.

Further, in the primary industry product information collection system, a fishing light is moved to a predetermined position in the field via a wire-moving network, and the fishing light is remotely operated or automatically turned on to emit the wire-moving image. It is preferable to collect fish around a camera and diagnose the collected fish by the moving wire imaging camera. As a result, a fish attracting light that emits light at night in the aquarium can be attached to the wire-moving network as an option, making it easier to collect data using a wire-moving imaging camera and a wire-moving sensor, making it easier to check the health of fish. can.

As described above, according to the primary industry product information collection system according to the present invention, the harsh working environment of producers in the primary industry can be greatly improved, and new entrants such as inexperienced people including young people can enter the primary industry. In addition, by providing inexperienced producers with the know-how of experts who require advanced expertise, such as early detection of pests and diseases, the primary industry can become an attractive industry.

In addition, producers in remote areas away from the fields of the primary industry can monitor field conditions more precisely in real time, utilize databases to “smartize” production in the primary industry, and produce a large amount of rice with a limited labor force. effect can be achieved.

Furthermore, the degree of growth and health condition of primary industry products can be grasped 24 hours a day, 365 days a year, and it is possible to predict the yield of products.

1 is an explanatory diagram showing one embodiment of a configuration of data processing using AI image analysis software and delivery to a producer's mobile terminal or the like by application software, relating to the primary industry product information collection system according to the present invention. FIG. Note that the explanatory diagrams surrounded by the solid lines in FIG. 1, and the explanatory diagrams related to the moving body in FIGS. 3 to 6 and 15 show the moving body having the shape of the first embodiment. 1 is a block diagram showing one embodiment of a field area of a primary industry product information collection system, a type of production in the area, a function of a moving body, etc., and a type of database; FIG. FIG. 3(a) is a front view showing the configuration of a moving wire imaging camera that is attached to a mobile body and captures a product in a field, and a moving wire sensor that acquires identification data of the product. FIG.3(b) is a rear view which shows the back surface of Fig.3 (a). FIG. 4(a) is a front perspective view of the wire-moving imaging camera and the wire-moving sensor attached to the moving body, and FIG. It is the perspective view which looked at the wire movement type sensor from the back surface. FIG. 4(c) is a front perspective view of a speaker attached to a mobile body, and FIG. 4(d) is a rear perspective view of a speaker attached to a mobile body. FIG. 5(a) is a front perspective view of the sprayer and tank attached to the moving body, and FIG. 5(b) is a rear perspective view of the sprayer and tank attached to the moving body. FIG. 5(c) is a front perspective view of the speaker attached to the mobile object, and FIG. 5(d) is a rear perspective view of the speaker attached to the mobile object. FIG. 6(a) is a perspective view of the luminous body/fishing light and the device mounting hook attached to the moving body, as seen from the surface, and FIG. 6(b) is the luminous body/fishing light and the device attached to the moving body. It is the perspective view which looked at the hook for attachment from the back surface. Fig. 3 shows in an illustration an example of the type of production area provided in the field and the type of construction of a wire mobile network; 1A and 1B are plan and cross-sectional views of one embodiment of a unidirectional mobile network; FIG. 8 to 14 and 16 show the moving body having the shape of the second embodiment. 1 is a plan view showing an embodiment of a cross-type mobile network in which unidirectional mobile networks are combined and crossed in the vertical direction and the horizontal direction; FIG. FIG. 10 is a BB cross-sectional view and a CC cross-sectional view of the cross-type mobile network embodiment of FIG. 9; FIG. 2 is a plan view showing an example of a field without intersections (a) and a field with intersections (b) of the two-way mobile network; FIG. 2 is a plan view showing one embodiment applied to a wide-area agricultural field by curvilinear mobile network; FIG. 4 is a side view of one embodiment of a curvilinear rail reinforcement detail for use in a curvilinear network; FIG. 3 is a cross-sectional view showing one embodiment of a three-way mobile network with the added ability to adjust the height of the mobile between the struts of the wire mobile network. FIG. 11 is a front view showing another embodiment of the function of adjusting the wire height between struts; 1 is a plan view showing one embodiment of a field division network provided in a field divided into a plurality of areas; FIG.

(Configuration of primary industry product information collection system)
FIG. 1 shows the configuration of data processing using AI image analysis software 16 and the application software 17 to the mobile terminal 6a or personal computer 6b of the producer 20 for the primary industry product information collection system 1 according to the present invention. An illustration shows one embodiment of the distribution. As shown in FIG. 1, posts 9 installed in fields 11a, 11b, and 111c (see FIG. 7) for producing products 12 are connected by wires 13 to form a wire mobile network 2 (see FIG. 8, etc.). . Image data 14 and identification data 15 of the product 12 are collected by the wire-moving imaging camera 3 and the wire-moving sensor 4 that move on the wire-moving network 2 . The imaging cameras and sensors used in this specification are hereinafter referred to as the "moving wire imaging camera 3" shown in FIG. 2 and the "moving wire sensor 4" shown in FIG. This is to clearly indicate that the imaging camera 3 and the sensor 4 are dedicated to the primary industry product information collection system 1 of the present invention. However, it is not limited to use in the present invention, and may be used for a wide range of general purposes. The collected image data 14 and identification data 15 are stored in an image database 19a or identification database 19b on the cloud 18 by communication and analyzed by AI image analysis software 16. FIG. That is, the analysis results are provided as an analysis result database 19c to the mobile terminals 6a, personal computers 6b, etc. of the producers 20 of the fields 11a, 11b, and 11c as shown in FIG. In this specification, the identification data 15 of the product 12 includes, for example, leaf vein data/leaf shape data/color data/pattern data of the plant 12a, scale data/whole shape data/part shape data such as fins/pattern data of the fish 12b. , facial data, coat data, pattern data, bark data, gesture data, movement data, smell data, etc. of the livestock 12c, etc. Characteristic data that individuals will be able to recognize due to future accumulation of data and advances in analysis technology. However, it is not limited to these, and includes all characteristic data with which the individual of the product 12 can be recognized. In this specification, the wire-moving imaging camera 3 and the wire-moving sensor 4 running on the wire-moving network 2 are collectively referred to as a moving object 10 .

This primary industry product information collection system 1 attaches a movable body 10 via a wire 13 to photograph a product 12 in a field 11 at any time, and collects image data 14 and identification data 15 of the product 12 . As a result, the discovery and diagnosis of pests of the product 12, the growth record and growth diagnosis of the product 12, and the history of the feed of the product 12 can be recorded, and the primary industry can be made smart. This smartization can achieve great results with a limited workforce. In addition, if the know-how of highly specialized experts, such as early detection of pests, can be provided to inexperienced producers20 by utilizing artificial intelligence (AI), it will support inexperienced people, including young people who are newly entering the market. can do. In addition, the producer 20 in a remote location away from the field 11 of the primary industry can monitor the state of the field 11 more precisely in real time, and utilize the image database 19a and the identification database 19b to utilize the limited labor force for production in the primary industry. great effect can be achieved.

FIG. 2 is a block diagram showing one embodiment of the field area of the primary industry product information collection system 1, the type of production in that area, the functions and configurations of the moving body 10, etc., and the databases 19a, 19b, 19c, and 19d. . A farm field 11 of the primary industry product information collection system 1 is composed of an agricultural production area 5a for producing plants 12a, a fishery production area 5b for producing fish 12b, and a livestock production area 5c for raising livestock 12c. A plurality of products 12 are produced in each of the areas 5a, 5b, and 5c. The wire-moving imaging camera 3 mainly includes an image control unit 30, an image data transmission unit 31, a height adjustment unit 32, a rotation direction adjustment unit 33, and a timer 34, and includes other functions. Also good. The image control unit 30 controls driving of the motor 36 of the wire-moving imaging camera 3, photographing of the wire-moving imaging camera 3, transmission and reception of data, and the like. The image data transmission unit 31 saves the image data 14 captured by the moving wire imaging camera 3 in the image database 19 a as the growth record 60 of the product 12 and transmits the data to the AI image analysis software 16 . The height adjuster 32 adjusts the image height of the moving body 10 to the optimum height of the product 12 . The rotation direction adjusting unit 33 adjusts the photographing angle of the moving body 10 to the optimum angle of the product 12 (not shown). A timer 34 records the date and time of photography. The wire-moving sensor 4 is composed of a sensor control section 40 and a sensor data transmission section 41 for controlling the operation of the wire-moving sensor 4 . It also comprises a type authentication unit 42 for authenticating the type from the overall characteristics extracted from the product 12, and an individual authentication unit 43 for authenticating the individual extracted from the product 12 from the characteristics of the individual. . Further, the sensor data transmission unit 41 stores the identification data 15 identified by the moving wire sensor 4 in the identification database 19 b as an identification record of the product 12 and transmits the identification data 15 to the AI image analysis software 16 . As shown in FIG. 1, the image database 19a and the identification database 19b sent to this AI image analysis software 16 are analyzed by the AI image analysis software 16, for example, pest diagnosis 63 of the product 12, growth of the product 12 Analysis results such as the diagnosis 64 are stored in the analysis result database 19c.

As shown in FIG. 2, in the agricultural production area 5a and the livestock production area 5c, the field environment control section 50 includes a field temperature control section 51, a field humidity control section 52, a field air related control section 53, and a field environment control section 53. It is composed of an inner solar radiation control unit 54 and the like. In the fishery production area 5b, the farm field environment control section 50 includes a farm field water temperature control section 55, a farm field water quality control section 56, a farm field water flow control section 57, and the like. The field environment control unit 50 can keep the temperature, humidity, wind speed, wind volume, wind direction, air components such as CO2, and the amount of solar radiation in the field 11 at optimal values for the growth of the products 12 . This is because, as global climate change, especially global warming, progresses, it is assumed that in a certain region the climate was suitable for a certain product 12, but the optimum production area will shift in a short period of time. It is from. For example, in recent years, as rice production areas in Japan have gradually moved northward, a phenomenon is occurring in which the production areas of conventional "branded rice" are changing. This primary industry product information collection system 1 controls the movement of suitable production areas due to such climate change by using the artificial environment of the field 11, It can protect the business goodwill of embodied consumers.” In addition, the fish 12b can also be grown in a water tank in the farm field 11 where the environment can be controlled. This is the same in livestock farming, and it is possible to raise "brand cattle" and the like. Data related to the environment controlled by the farm field environment control unit 50 are stored in the environment database 19d shown in FIG. used for Similarly, data related to the environment controlled by the field environment control unit 50, such as water temperature, water quality, and water flow in the water tank, are stored in the environment database 19d as the water tank environment database 66 shown in FIG. It is used for diagnosis 64 and the like.

The identification database 19b is composed of a product position storage unit 61 and a moving body position storage unit 62. FIG. The position of a specific product 12 within the field 11 is stored as data in the product position storage unit 61 so that it can be referred to. Further, the moving body position storage unit 62 stores the position of the moving body 10 corresponding to the position of the specific product 12 so that it can be referred to as data. The positions of specific products 12 and corresponding mobiles 10 within the field 11 are stored in the identification database 19b as a product location storage 61 and a mobiles location storage 62 . Therefore, those position detections can be easily reproduced from the history of accumulated travel distances from a specific starting point.

3 to 6 show an embodiment regarding the configuration and shape of the moving body 10. FIG. That is, the wire mobile network 2 includes a wire mobile imaging camera 3 attached to a mobile body 10 to photograph the product 12 in the field 11 and a wire mobile sensor 4 for acquiring the identification data 15 of the product 12. . As shown in FIGS. 3 to 6, the moving wire imaging camera 3 and the moving wire sensor 4 of this embodiment run on the wire 13 by rotating the motor 36 under the control of the sensor control unit 40. do. Alternatively, the sensor control unit 40 can reversely rotate the motor 36 to run the wire 13 in reverse. The sensor control section 40 is composed of a camera control section 40a and a sensor control section 40b. Further, the sensor control unit 40 is sandwiched between the pulley 68 and the idler pulleys 68b on both sides of the pulley 68 in the vertical direction, and the initial tension is introduced to the wire 13 . By this introduction of tension, the position of the wire 13 is stably fixed. Further, the sensor control unit 40 has a height adjustment unit 32, and adjusts the position of the sensor control unit 40 to which the length adjustment pin 86 is attached to match the height of the product 12. The formula sensor 4 can be adjusted. With this function, the moving wire imaging camera 3 and the moving wire sensor 4 can photograph the product 12 in close proximity and acquire data. Furthermore, the wire mobile network 2 includes a tank 45 (see FIG. 6), a sprayer 38 (see FIG. 6), a light emitter or fishing light 39 (see FIG. 6), a speaker 85 (see FIG. 3), etc. can be attached and transported to a specific product 12 . Further, other devices can be optionally attached to the device attachment hook 83 (see FIG. 6).

FIG. 3(a) shows the configuration of a moving wire imaging camera 3 that is attached to a mobile body 10 and captures an image of a product 12 in a field 11, and a moving wire sensor 4 that acquires identification data 15 of the product 12. and FIG. 3(b) is a rear view showing the rear surface of FIG. 3(a). 4A is a perspective view of the wire-moving imaging camera 3 and the wire-moving sensor 4 attached to the moving body 10, and FIG. 3 is a perspective view of the wire-moving imaging camera 3 and the wire-moving sensor 4 as seen from the back. FIG. FIG. 4(b) is a perspective view of the wire-moving imaging camera 3 and the wire-moving sensor 4 attached to the moving body 10 as viewed from the rear side. 4(c) is a front perspective view of the speaker 85 attached to the mobile body 10, and FIG. 4(d) is a rear perspective view of the speaker 85 attached to the mobile body 10. FIG. 5(a) is a perspective view of the sprayer 38 and the tank 45 attached to the mobile body 10 as seen from the front side, and FIG. 5(b) is a rear view of the sprayer 38 and the tank 45 attached to the mobile body 10. 5(c) is a perspective view of the speaker 85 attached to the moving body 10 as seen from the front side, and FIG. 5(d) is a perspective view of the speaker 85 attached to the moving body 10 from the rear side. 1 is a perspective view seen from . Further, FIG. 6(a) is a perspective view of the light emitter/fishing light 39 and the equipment attachment hook 83 attached to the moving body 10, and FIG. Fig. 11 is a perspective view of the light emitter/fishing light 39 and the equipment attachment hook 83 as seen from the back side;

As shown in FIGS. 3 to 6, the moving body 10 runs on the wire 13 as the motor 36 rotates. The power source for the motor 36 includes a solar power source as well as a general power source. AI image analysis software 16 identifies the type or individual characteristics of the product 12 from the image data 14 or identification data 15 of the product 12, assigns an individual identification number to the product 12, and generates image data 14 or identification data 15 are stored in the databases 19a to 19d in association with the individual identification number together with the recognized type. The wire mobile network 2 according to the present invention shown in FIG. 7 is not limited to the shape and configuration shown in FIG.

(automatic transfer function)
The wire mobile network 2 according to the invention has three main roles. The first role is to automatically capture the image data 14 of all the products 12 in the field 11 by the wire-moving imaging camera 3, and the wire-moving sensor 4 attached to the wire-moving imaging camera 3 performs the field 11 The second role is to automatically acquire the identification data 15 of all the products 12 in the farm field 11, and the wire mobile network 2 is used to automatically transport various devices and the like to desired positions in the field 11. This is the third role. These roles of substituting human labor can greatly improve the harsh working environment of producers 20 in the primary industry and encourage new entrants such as inexperienced people including young people to enter the primary industry.

5 and 6 show an embodiment of the automatic transport function described above. A sprayer 38 and a tank 45 attached to the moving body 10 and transported into the farm field 11, a speaker 85, a light emitter or a fishing light 39, an equipment attachment hook 83, and the like are shown. In this manner, various devices are attached to the moving body 10 using the device attachment hooks 83 and the like, and the mobile body 10 is transported into the farm field 11 . This will improve the harsh working conditions of producers in the primary industry and encourage new entrants, including young people and inexperienced workers, to enter the primary industry. FIG. 5(a) shows a perspective view of the sprayer 38 and the tank 45 attached to the moving body 10 as seen from the surface. FIG. 5(b) shows a perspective view of the sprayer 38 and the tank 45 attached to the moving body 10 as seen from the rear side. FIG. 5(c) shows a perspective view of the speaker 85 attached to the moving body 10 as seen from the surface. FIG. 5(d) shows a perspective view of the speaker 85 attached to the moving body 10 as seen from the rear side. FIG. 6(a) shows a perspective view of the light emitter or fishing light 39 and the device attachment hook 83 to be attached to the moving body 10, as seen from the surface. FIG. 6(b) shows a perspective view of the luminous body or fishing light 39 and the equipment attachment hook 83 attached to the moving body 10 as seen from the rear side.

(Equipment mounting hook)
A tank 45 is provided in the moving body 10 shown in FIG. Then, it is possible to provide the equipment such as the sprayer 38 and the light emitter 39 that are transported in the field 11 and hung by the worker at a predetermined position. For devices other than the sprayer 38 and the light emitter 39 that are suspended from the moving body 10, fixtures suitable for the devices are prepared each time.

(type of production area)
FIG. 7 is an explanatory diagram of an example of an agricultural field 11a, a fishery field 11b, and an animal husbandry field 11c, which are the types of production areas (see FIG. 2), and an example of the configuration of the wire mobile network 2. indicated by . The types of the production areas 5a, 5b, and 5c provided in the farm field 11 are mainly an agricultural production area 5a, a fishery production area 5b, and a livestock production area 5c, but are not limited to these. The agricultural production area 5a includes horticultural crops, craft crops, vegetable gardens, orchards, and the like. Also, the fishery production area 5b includes a fish tank, an aquarium, and the like. Furthermore, the livestock industry production area 5c includes cowsheds, piggeries, poultry houses, pig farms, poultry farms, pastures, and the like.

(kind of wire mobile network)
The types of the wire mobile network 2 include a unidirectional mobile network 21 in which the wire mobile imaging camera 3 and the like move in one direction with respect to a relatively long and narrow field 11, and a crossing type in which the unidirectional mobile network 21 intersects. A mobile network 22, a two-way mobile network 23 corresponding to the farm field 11 having a two-dimensional spread, and a three-way mobile network 24 in which the wire mobile imaging camera 3 and the like spread two-dimensionally and move up and down. , a curvilinear mobile network 25 corresponding to a wide-area field 11, and a field dividing network 26 in which a plurality of fields 11 are aggregated, but not limited to these. As for these networks 21 to 26, the producer 20 can select the optimum one of the networks 21 to 26 according to the type and scale of the primary industry. Also, by combining different types of networks 21 to 26, the optimum networks 21 to 26 for the field 11 can be constructed.

(one-way mobile network)
FIG. 8 shows one embodiment of the unidirectional mobile network 21. As shown in FIG. FIG. 8(a) is a plan view, and FIG. 8(b) is a cross section along line AA of FIG. 8(a). As shown in FIGS. 8(a) and 8(b), the one-way mobile network 21 has two support posts 9 reinforced with a backstay 8 and wires 13 connecting the support posts 9 together. Various networks 21 to 26 can be selected according to the shape and topography of the field 11 . By tensioning the backstays 8 of the two pillars 9 , the moving body 10 suspended from the wires 13 can stably reciprocate between the two pillars 9 . The backstay 8 is a method of fixing the head of the support 9 to the ground or the wall surface surrounding the field 11, but other methods may be used as long as the support 9 is firmly fixed.

(Other embodiments of height adjustment function)
As shown in FIGS. 3 to 6, the position in the height direction can be varied by providing the length adjusting portion 32. FIG. 8, 10, and 14, another embodiment in which the height position of the moving body 10 is made variable will be described. The wire-moving network 2 is of a wire-moving type and can adjust the height of the moving bodies 10a and 10b by changing the distance between the forward moving body 10a and the rearward moving body 10b. That is, as shown in FIG. 8, a mounting portion is provided at a location where the moving body 10 is connected to the wire 13, and a suspension wire 7 for adjusting the height direction is attached to adjust the height of the moving bodies 10a and 10b. . As shown in FIG. 8(b), when the angle between the hanging wires 7 for adjusting the height direction changes, the height of the triangle also changes accordingly. According to this triangular principle, the height direction positions of the moving wire imaging camera 3 and the moving wire sensor 4 can be arbitrarily changed without providing the length adjusting section 32 .

(cross-type mobile network)
FIG. 9 shows a plan view of an embodiment of a cross-type mobile network 22 in which unidirectional mobile networks 21 are combined and crossed in an orthogonal direction. Also, FIG. 10 shows a BB sectional view and a CC sectional view of the cross-type mobile network 22 of FIG. As shown in FIG. 9, the longitudinal mobile network 21a and the lateral mobile network 21b of the cross-type mobile network 22 have crossings 29 at their intersections. If the mobile body 10 is allowed to travel along this intersection 29 as it is, it will move independently in the vertical and horizontal directions, but it will be difficult to process the travel path of the intersection type mobile network 22 at this intersection 29 . Therefore, as shown in FIG. 10, a network is conceivable in which the vertical and horizontal unidirectional mobile networks 21 are moved in a plane so that the moving body 10 does not collide. That is, one wire 13 is used as the main wire 13a to preferentially pass through the wire-moving imaging cameras 3a, 3b, etc., and the other wire 13 is used as the sub-wire 13b to allow the wire-moving imaging cameras 3a, 3b, etc. to pass through the intersection 29. It is conceivable to construct a network that does not intersect by folding back. Combining the one-way mobile networks 21 in this manner eliminates the intersection 29 and enables the configuration of the intersection-type mobile network 22 at low cost. Also, as shown in the CC section of FIG. 10(b), the wires 13a and 13b are arranged such that the wires 13a and 13b move while only the X portion is folded back at the post 9 and the wire moving imaging camera 3a moves while only the Y portion is folded back. It is divided into a wire moving imaging camera 3b. As a result, the collision between the wire-moving imaging camera 3a and the wire-moving imaging camera 3b at the intersection 29 is resolved.

FIG. 11 shows a basic embodiment of the bi-directional mobile network 23 in plan view. FIG. 11( a ) is a two-way mobile network 23 circulating the entire field 11 . This type of two-way mobile network 23 is not broken by crossing other wire mobile networks 2, but the corners become curvilinear mobiles 28, which reduces the effective area per square lot area, and the field 11 inefficient use of the wire mobile network 2 in . FIG. 11(b) shows an orthogonal type mobile network 23a in which pillars 9 are erected at the four corners of a field 11 and each pillar 9 is reinforced with a backstay 8. FIG. In this orthogonal type mobile network 23a, the use efficiency of the farm field 11 is improved because every corner of the field 11 can be used. Therefore, four moving bodies 10 are required. Here, "whether or not it is possible to easily acquire image data 14 or identification data 15 of the product 12 in the field 11 by the wire-moving imaging camera 3 by the wire-moving network 2 provided in the field 11". is called "whether the use efficiency of the field 11 is good or bad".

(two-way mobile network)
FIG. 12 shows a plan view of an embodiment of a curvilinear mobile network 25 that allows the two-way mobile network 23 to cover a wide area of the agricultural field 11 . The movable body 10 moves along linearly moving portions 27 arranged at regular intervals, and is turned back to the linearly moving portion 27 in the opposite direction by the curved moving portion 28 at the support 9 at the end. By repeating this, the moving body 10 can move in two directions and automatically travel all over the field 11 . By combining the linear movement unit 27 and the curve movement unit 28 in this way, the curve movement type network 25 has a feature that it can efficiently use the rectangular agricultural field 11 such as a square or a rectangle. In other words, if the wire 13 and the rail are stretched so that the robot can move in the field 11 by "single stroke", the robot can move over a wide area without generating the intersection 29.

(Installation detail of rail for curved movement)
FIG. 13 shows one embodiment of reinforcing detail of wires 13 by curvilinear rails used in curvilinear network 25 . In the linear moving unit 27 of the wire moving network 2, if the wire 13 is tightened between the supports 9, the wire moving imaging camera 3 and the like can be moved in one direction. On the other hand, since the wire 13 cannot be tied tightly to the curved moving portion 28, as shown in FIG. A detail is employed that retains the shape of 13 and attaches the wire 13 along its lip channel 88 to support the wire moving imaging camera 3 or the like below. A gap in the cross section of the lip channel steel 88 shown in FIG. 13 is utilized to suspend the wire moving imaging camera 3 downward.

(three-way mobile network)
FIG. 14 shows in cross-section one embodiment for adjusting the height of the mobiles 10 between the struts 9 of the wire mobile network 2 . FIG. 14 is a DD section of FIG. In the three-way mobile network 24, the wire mobile imaging cameras 3a and 3b are connected to the wire 13 by the forward moving body 10a and the backward moving body 10b, and the distance between the forward moving body 10a and the backward moving body 10b can be adjusted. can be photographed by setting the photographing position in the vertical direction according to the product 12, and a three-direction movable network 24 is obtained by adding the height direction to the two-direction movable network 23. - 特許庁That is, the space between the front moving body 10a and the rear moving body 10b is narrowed by fixing the position of the front moving body 10a and moving the position of the rear moving body 10b forward, and the shooting position in the vertical direction is lowered. Become. On the other hand, the distance between the forward moving body 10a and the rearward moving body 10b is widened by fixing the position of the rearward moving body 10b and advancing the position of the forward moving body 10a. Become. By the operation of the forward moving body 10a and the backward moving body 10b, it is possible to set the photographing positions of the wire-moving imaging cameras 3a and 3b in the vertical direction in accordance with the photographing position of the product 12. FIG.

(Wire tension method and wire height position adjustment)
Another embodiment of the function of tensioning the wire 13 between the struts 9 is shown in front view in FIG. One end of the wire 13 is fixed to the post 9 via a rotatable pulley 68 at the wire fixing portion 46 . The other end of wire 13 is wound up by manual winch 49 via rotatable pulley 68 to introduce tension into wire 13 . At both ends of the wire 13, a groove for adjusting the height position of the wire 13 is provided in the post 9 to set a wire high position 47 and a wire low position 48, and the position of the wire 13 is set at a desired height between them. can do.

(field divided into multiple areas)
FIG. 16 shows a plan view of one embodiment of the field division network 26 provided in the field 11 divided into a plurality of areas. As will be described later, this field division network 26 can be made into a unique wire moving network 2 by assembling a plurality of fields 11 . FIG. 16 shows a field 11 divided into three areas, ie, an agricultural field 11a, a fishery field 11b, and a livestock farming field 11c, as an example, but the number of divisions is not limited to this. In this way, the field division network 26 may have a different product 12 for each field 11, or a common product 12 for all fields 11. FIG. By dividing the field 11 into a plurality of areas, for example, in agriculture, an agricultural field 11a is set and surrounded by a vinyl house for growing agricultural products, and pasture grass or the like that becomes feed for livestock is grown in the vinyl house for double cropping or double cropping. The feed can be brought into the livestock farming field 11c and fed to the livestock 12c. Also, for example, it is possible to distribute pasture grass to a plurality of locations, grow the pasture grass at different times, and stably feed the livestock 12c with the pasture grass.

(Producing both bee breeding and honey in the field)
Alternatively, the farm field 11 may be surrounded by a plastic greenhouse for raising agricultural products, a nest box for bees may be provided in the plastic greenhouse for raising agricultural products, and bees may collect pollen from flowers to build a nest. Also, the flowers that the bees like may be bred in a vinyl greenhouse and the honey harvested. For honeybees that are sensitive to cold, the temperature inside the greenhouse is controlled by the above-described farm field temperature control unit 51 . Bees are observed by a wire-moving imaging camera 3 to prevent flowers from withering and bees from starvation. In this way, by enclosing bees in a greenhouse, pure and high-quality honey can be collected. In addition, flowers, which are sources of honey, are grown as garden crops in the agricultural production area 5a.

(Both livestock and livestock feed are produced in the field)
Alternatively, the farm field 11 may be surrounded by a vinyl house for growing agricultural products as the agricultural production area 5a, and pasture grass or the like to be feed for the livestock 12c in the livestock production area 5c may be grown. As a result, for example, the pasture can be distributed to a plurality of locations, the pasture can be grown at different growing seasons such as double cropping or double cropping, and the dispersed pasture can be alternately fed to the livestock 12c as feed. In this way, it becomes possible to cultivate pasture grass for the livestock 12c at home, and it is possible to supply feed that is close to natural pasture grass without much effort throughout the year by double cropping or double cropping.

(Creating together fish that establish a food chain)
A water tank for fish 12b is provided in a farm field 11, and an ecosystem with high-grade fish at the top is bred in the water tank. Then, for example, phytoplankton, zooplankton, juvenile octopus and squid, small fish (sardines, etc.), adult fish (mackerel, etc.), and high-grade fish (tuna, etc.) are raised in the same aquarium so that a food chain can be established. , raises the food chain in the aquarium and sustainably nurtures the highest quality fish. Alternatively, the fish 12b that generate this food chain are dispersed in a plurality of water tanks in the farm field 11 and raised to sustainably raise high-grade fish that will be the top.

(Nurturing symbiotic animals and plants together)
A livestock farming field 11 c is provided in the farm field 11 , and an ecosystem with carnivorous animals (pigs, chickens) and herbivorous animals (cows) at the top is bred in the farm field 11 . For example, microorganisms in the soil and water, earthworms, pill bugs, plants such as trees, grasses, flowers, microorganisms, insects that eat plants, small animals, spiders, praying mantises, frogs, birds, small carnivores, carnivores (pigs, chickens) and herbivorous animals (cattle). In this way, by creating a food chain within the ranch, livestock such as cattle, pigs, and chickens, which are the top of the ecosystem, can be reared sustainably.

(Detection of pests by AI image analysis software)
As shown in FIGS. 1 and 2, the AI image analysis software 16 analyzes the image data 14 or the identification data 15 collected by the wire moving imaging camera 3 and the wire moving sensor 4, and identifies the individual product 12. Then, the image data 14 or the identification data 15 is associated with the individual identification number and stored in databases 19a and 19b. Specifically, the leaves, stems, flowers, fruits, etc. of the product 12 in a normal state are photographed by the wire mobile imaging camera 3 used in the wire mobile network 2, and similarly, the product 12 with pests is taken. Also take pictures. These normal and abnormal images are stored in the image database 19a, and the AI image analysis software 16 learns in advance the difference between the features of the two. In addition, the AI image analysis software 16 learns in advance the features of leaves, stems, flowers, fruit shapes, and the like. Next, during the production of agricultural products, the AI image analysis software 16 and the application software 17 are operated, and when the monitoring and analysis of the agricultural products such as photographing the image of the product 12 with the wire mobile imaging camera 3 is started, the photographing is performed there. The image data 14 of the produced product 12 is stored in the identification database 19b. The AI image analysis software 16 analyzes the size of leaves and stems from the captured image using the features learned in advance, counts the number of flowers and fruits, and analyzes the results. Store in the result database 19c. Similarly, the AI image analysis software 16 uses the features learned in advance from the images to be observed stored in the identification database 19b, analyzes the situation as to whether pests are occurring, and the results are also the analysis results. Store in database 19c. In this way, the product 12 that is desired to be observed by learning in advance the difference in characteristics between normal and abnormal products, and by learning in advance the characteristics such as the shape of flowers, fruits, etc., and using these characteristics at the time of observation. pests, leaves, stems, flowers, and fruits are detected from the image, and the state of the product 12 is recognized by judging the size of the leaves, the count of the fruits, and the like. The analysis result database 19c is notified to the producer 20 of the field 11 and can be viewed from the portable terminal 6a or personal computer 6b of the producer 20. FIG.

(Transportation of various equipment)
The transportation of various equipment using the wire mobile network 2 described above is a third function, for example, water, fertilizers, pesticides, herbicides, etc., which are indispensable for the production of agricultural products, are delivered by the mobile body 10 to the necessary products 12 It is a function to transport to the source of That is, the moving wire imaging camera 3 and the moving wire sensor 4, which are the first function and the second function shown in FIG. The sprayer 38, the light emitter 39, and the like are suspended from the equipment attachment hook 83 of the . This third function can be performed using the wire mobile network 2 after the completion of the first and second functions. Alternatively, the first function, the second function, and the third function can be performed on different days of the week or at different times so as not to overlap.

(Usage of nebulizer)
When the leaves of the product 12 block the line of sight of the moving wire imaging camera 3, the sprayer 38 can automatically blow air onto the leaves to secure the line of sight. A primary use for the sprayer 38 is watering the produce 12 . Another application of the sprayer 38 is spraying fertilizers, pesticides, herbicides, and the like. The sprayer 38 is moved by the wire moving network 2 to a predetermined position within the field 11 and sprayed on the appropriate produce 12 by remote control. The mixing ratio of water, fertilizer, pesticide, or herbicide contained in this sprayer 38 is calculated by AI based on the season, time, temperature, and the like. Damage caused by pests to the plant 12a may occur from the underside of the leaves, so it is important to shoot upward from a low viewpoint to see the undersides of the leaves and the lower parts of the fruits. The wire-moving imaging camera 3 itself can also be equipped with a camera capable of photographing at a wide angle in the vertical direction and an optical system lens. In addition, pests that cannot be identified only by the moving wire imaging camera 3 can be discovered by utilizing, for example, the moving wire sensor 4 having directivity of 360 degrees instead of the moving wire imaging camera 3. .

(Removal of pests or pests by sound, light and smell)
When the wire-moving imaging camera 3 or the wire-moving sensor 4 attached to the moving body 10 detects that a vermin or a bird has entered the field 11, the AI function identifies the type of the vermin or the bird. and has the function of driving away vermin or pests by emitting sounds, lights, and odors that are expected to be effective against the pests or pests. In the case of sound, music and light, it is sufficient to emit programmed sounds and lights. As for the odor, a perfume bottle filled with perfume disliked by vermin or birds or a bottle filled with odor is moved to a predetermined position in the field 11 by the wire mobile network 2 and sprayed to repel vermin or birds. can do.

(Method of repelling crows, etc. by wire mobile network)
In addition, the wire mobile network 2 can also serve as a net for preventing entry of pests such as crows. This is because pest birds such as crows have a habit of extremely disliking their feathers being touched by a net or the like, and the intrusion of pest birds such as crows can be prevented by setting up a network of wires 13.例文帳に追加Therefore, by attaching a net to the upper part of the wire mobile network 2, it is possible to prevent intrusion of harmful birds such as crows.

(Installation of solar power generator)
As described above, devices such as the wire-moving imaging camera 3 and the wire-moving sensor 4 are powered by a battery (not shown) charged by a solar power generator installed on the solar surface of the wire-moving network 2. can work using This enables 24-hour automatic operation, including at night and in rainy weather. In addition, water, fertilizers, pesticides, and herbicides can be sprayed regularly and unmanned. This photovoltaic power generator may be suspended from a device mounting hook 83 as shown in FIG.

(Installation of fish-attracting lights in aquaculture tanks)
The fish-attracting light 39 is moved to a predetermined position in the field 11 by the networks 21 to 26 and emits light by remote control or automatic operation to attract fish around the wire-moving imaging camera 3 and the wire-moving sensor 4 . Thus, these networks 21-25 may be networked in the water with a one-way mobile network 21, a two-way mobile network 23, a three-way mobile network 24, or a curvilinear network, as an option for aquaculture tanks. It can be extended to the equation network 25. This is because underwater imaging becomes possible by waterproofing the wire-moving imaging camera 3 and the like. Then, the fish attracting light 39 is moved to a predetermined position in the field 11 via the wire-moving network 2 and lighted by remote control, and the fish and shellfish being produced are displayed around the wire-moving imaging camera 3 and the wire-moving sensor 4. You can collect fish. By causing the light emitter or the fish-attracting light 39 to emit light, the wire-moving imaging camera 3 or the like can gather fish in the water tank and photograph them with the wire-moving imaging camera 3 . The fishing light 39 may be suspended from the equipment attachment hook 83 shown in FIG.

The configuration, shape, size, and arrangement of the primary industry product information collection system 1 described in the above embodiments are merely schematic representations to the extent that the present invention can be understood and implemented. Furthermore, the functions of the moving-wire imaging camera 3 and the moving-wire sensor 4 are only schematically shown to the extent that the present invention can be understood and implemented. Therefore, the present invention is not limited to the described embodiments, but can be modified in various forms without departing from the scope of the technical concept indicated in the claims.

1 primary industry product information collection system, 2 wire mobile network, 3 wire mobile imaging camera, 3a wire mobile imaging camera, 3b wire mobile imaging camera, 4 wire mobile sensor, 5 production area, 5a agricultural production area , 5b fishery production area, 5c livestock production area, 6a portable terminal, 6b personal computer, 7 suspension wire (for height direction adjustment), 8 backstay, 9 strut, 10 moving body, 10a forward moving body, 10b backward movement body, 11 field, 11a agricultural field, 11b fishery field, 11c livestock field, 12 product, 12a plant, 12b fish, 12c livestock, 13 wire, 13a main wire, 13b secondary wire, 14 image data, 15 identification data, 16 AI image analysis software, 17 application software, 18 cloud, 19a image database, 19b identification database, 19c analysis result database, 19d environment database, 20 producer, 21 unidirectional mobile network, 21a longitudinal mobile network, 21b lateral mobile network, 22 cross-type mobile network, 23 bidirectional mobile network, 23a orthogonal type mobile network, 24 three-way mobile network, 25 curvilinear mobile network, 26 field division network, 27 linear mobile network Section 28 Curve moving section 29 Intersection section 30 Image control section 31 Image data transmission section 32 Length adjustment section 33 Rotational direction adjustment section 34 Timer 36 Motor 37 Antenna 38 Sprayer 39 Light emitter or Fishing light 40 sensor control unit 40a camera control unit 40b sensor control unit 41 sensor data transmission unit 42 type authentication unit 43 individual authentication unit 45 tank 46 wire fixing unit 47 wire high position 48 wire low Position 49 Manual winch 50 Field environment control section 51 Field temperature control section 52 Field humidity control section 53 Field air related control section 54 Field solar radiation amount control section 55 Field water temperature control section 56 Field Inland water quality control unit 57 In-field water flow control unit 60 Growth record of product 61 Product position storage unit 62 Moving body position storage unit 63 Pest diagnosis of product 64 Growth diagnosis of product 65 In-field Environment database, 66 Water tank environment database, 67 Camera unit, 68 Pulley, 68b Idler pulley, 69 Cover, 83 Equipment mounting hook, 84 Transparent case, 85 Speaker, 86 Length adjustment pin, 87 Length changer, 88 Lip channel steel.

In order to achieve the above object, the primary industry product information collection system according to the present invention forms a wire mobile network by connecting posts installed in fields where products are produced by wires to form a wire mobile network. Equipped with a wire-moving imaging camera that moves and captures image data of the product and a wire-moving sensor that collects identification data of the product , and the wire is connected to the wire-moving imaging camera and the wire-moving sensor. An initial tension is introduced into the wire by a pulley that pushes the wire upward and a plurality of idler pulleys on either side of the pulley that push the wire downward near the point where the pulley is connected to a motor for rotation. The moving wire imaging camera and the moving wire sensor are moved, and the image data or identification data is stored in a database on the cloud through communication and analyzed by AI analysis software .

In addition, in the primary industry product information collection system, AI analysis software analyzes the image data or identification data collected by the wire-moving imaging camera and the wire-moving sensor to recognize the type of product from the characteristics of the product. preferably stored in the database as As a result, individual products can be recognized, and the products can be managed in detail.

In addition, in the primary industry product information collection system, AI analysis software identifies individual characteristics of products from product image data or identification data, assigns an individual identification number to each product, and collects image data or identification It is preferable to store the data in a database in association with the individual identification number together with the recognized type of data. As a result, individual products can be recognized, and the products can be managed in detail.

1 is an explanatory diagram showing one embodiment of a configuration of data processing using AI analysis software and delivery to a producer's mobile terminal or the like by application software, relating to the primary industry product information collection system according to the present invention. FIG. Note that the explanatory diagrams surrounded by the solid lines in FIG. 1, and the explanatory diagrams related to the moving body in FIGS. 3 to 6 and 15 show the moving body having the shape of the first embodiment. 1 is a block diagram showing one embodiment of a field area of a primary industry product information collection system, a type of production in the area, a function of a moving body, etc., and a type of database; FIG. FIG. 3(a) is a front view showing the configuration of a moving wire imaging camera that is attached to a mobile body and captures a product in a field, and a moving wire sensor that acquires identification data of the product. FIG.3(b) is a rear view which shows the back surface of Fig.3 (a). FIG. 4(a) is a front perspective view of the wire-moving imaging camera and the wire-moving sensor attached to the moving body, and FIG. It is the perspective view which looked at the wire movement type sensor from the back surface. FIG. 4(c) is a front perspective view of a speaker attached to a mobile body, and FIG. 4(d) is a rear perspective view of a speaker attached to a mobile body. FIG. 5(a) is a front perspective view of the sprayer and tank attached to the moving body, and FIG. 5(b) is a rear perspective view of the sprayer and tank attached to the moving body. FIG. 5(c) is a front perspective view of the speaker attached to the mobile object, and FIG. 5(d) is a rear perspective view of the speaker attached to the mobile object. FIG. 6(a) is a perspective view of the luminous body/fishing light and the device mounting hook attached to the moving body, as seen from the surface, and FIG. 6(b) is the luminous body/fishing light and the device attached to the moving body. It is the perspective view which looked at the hook for attachment from the back surface. Fig. 3 shows in an illustration an example of the type of production area provided in the field and the type of construction of a wire mobile network; 1A and 1B are plan and cross-sectional views of one embodiment of a unidirectional mobile network; FIG. 8 to 14 and 16 show the moving body having the shape of the second embodiment. 1 is a plan view showing an embodiment of a cross-type mobile network in which unidirectional mobile networks are combined and crossed in the vertical direction and the horizontal direction; FIG. FIG. 10 is a BB cross-sectional view and a CC cross-sectional view of the cross-type mobile network embodiment of FIG. 9; FIG. 2 is a plan view showing an example of a field without intersections (a) and a field with intersections (b) of the two-way mobile network; FIG. 2 is a plan view showing one embodiment applied to a wide-area agricultural field by curvilinear mobile network; FIG. 4 is a side view of one embodiment of a curvilinear rail reinforcement detail for use in a curvilinear network; FIG. 3 is a cross-sectional view showing one embodiment of a three-way mobile network with the added ability to adjust the height of the mobile between the struts of the wire mobile network. FIG. 11 is a front view showing another embodiment of the function of adjusting the wire height between struts; 1 is a plan view showing one embodiment of a field division network provided in a field divided into a plurality of areas; FIG.

(Configuration of primary industry product information collection system)
FIG. 1 shows the configuration of data processing using AI analysis software 16 and distribution to the mobile terminal 6a or personal computer 6b of the producer 20 by application software 17 for the primary industry product information collection system 1 according to the present invention. An embodiment of the is shown in an explanatory diagram. As shown in FIG. 1, posts 9 installed in fields 11a, 11b, and 111c (see FIG. 7) for producing products 12 are connected by wires 13 to form a wire mobile network 2 (see FIG. 8, etc.). . Image data 14 and identification data 15 of the product 12 are collected by the wire-moving imaging camera 3 and the wire-moving sensor 4 that move on the wire-moving network 2 . The imaging cameras and sensors used in this specification are hereinafter referred to as the "moving wire imaging camera 3" shown in FIG. 2 and the "moving wire sensor 4" shown in FIG. This is to clearly indicate that the imaging camera 3 and the sensor 4 are dedicated to the primary industry product information collection system 1 of the present invention. However, it is not limited to use in the present invention, and may be used for a wide range of general purposes. The collected image data 14 and identification data 15 are stored in the image database 19a or the identification database 19b on the cloud 18 by communication and analyzed by the AI analysis software 16. FIG. That is, the analysis results are provided as an analysis result database 19c to the mobile terminals 6a, personal computers 6b, etc. of the producers 20 of the fields 11a, 11b, and 11c as shown in FIG. In this specification, the identification data 15 of the product 12 includes, for example, leaf vein data/leaf shape data/color data/pattern data of the plant 12a, scale data/whole shape data/part shape data such as fins/pattern data of the fish 12b. , facial data, coat data, pattern data, bark data, gesture data, movement data, smell data, etc. of the livestock 12c, etc. Characteristic data that individuals will be able to recognize due to future accumulation of data and advances in analysis technology. However, it is not limited to these, and includes all characteristic data with which the individual of the product 12 can be recognized. In this specification, the wire-moving imaging camera 3 and the wire-moving sensor 4 running on the wire-moving network 2 are collectively referred to as a moving object 10 .

FIG. 2 is a block diagram showing one embodiment of the field area of the primary industry product information collection system 1, the type of production in that area, the functions and configurations of the moving body 10, etc., and the databases 19a, 19b, 19c, and 19d. . A farm field 11 of the primary industry product information collection system 1 is composed of an agricultural production area 5a for producing plants 12a, a fishery production area 5b for producing fish 12b, and a livestock production area 5c for raising livestock 12c. A plurality of products 12 are produced in each of the areas 5a, 5b, and 5c. The wire-moving imaging camera 3 mainly includes an image control unit 30, an image data transmission unit 31, a height adjustment unit 32, a rotation direction adjustment unit 33, and a timer 34, and includes other functions. Also good. The image control unit 30 controls driving of the motor 36 of the wire-moving imaging camera 3, photographing of the wire-moving imaging camera 3, transmission and reception of data, and the like. The image data transmission unit 31 saves the image data 14 captured by the moving wire imaging camera 3 in the image database 19 a as the growth record 60 of the product 12 and transmits the data to the AI analysis software 16 . The height adjuster 32 adjusts the image height of the moving body 10 to the optimum height of the product 12 . The rotation direction adjusting unit 33 adjusts the photographing angle of the moving body 10 to the optimum angle of the product 12 (not shown). A timer 34 records the date and time of photography. The wire-moving sensor 4 is composed of a sensor control section 40 and a sensor data transmission section 41 for controlling the operation of the wire-moving sensor 4 . It also comprises a type authentication unit 42 for authenticating the type from the overall characteristics extracted from the product 12, and an individual authentication unit 43 for authenticating the individual extracted from the product 12 from the characteristics of the individual. . Further, the sensor data transmission unit 41 stores the identification data 15 identified by the moving wire sensor 4 in the identification database 19b as an identification record of the product 12, and transmits the identification data 15 to the AI analysis software 16 . As shown in FIG. 1, the image database 19a and the identification database 19b sent to the AI analysis software 16 are analyzed by the AI analysis software 16 , for example, pest diagnosis 63 of the product 12 and growth diagnosis 64 of the product 12. Such analysis results are stored in the analysis result database 19c.

As shown in FIGS. 3 to 6, the moving body 10 runs on the wire 13 as the motor 36 rotates. The power source for the motor 36 includes a solar power source as well as a general power source. The AI analysis software 16 identifies the type or individual characteristics of the product 12 from the image data 14 or the identification data 15 of the product 12, assigns an individual identification number to the product 12, and converts the image data 14 or the identification data 15. Together with the recognized type, it is stored in databases 19a to 19d in association with the individual identification number. The wire mobile network 2 according to the present invention shown in FIG. 7 is not limited to the shape and configuration shown in FIG.

(Detection of pests by AI analysis software )
As shown in FIGS. 1 and 2, the AI analysis software 16 analyzes the image data 14 or the identification data 15 collected by the moving wire imaging camera 3 and the moving wire sensor 4 to identify the product 12 individually. Then, the image data 14 or the identification data 15 is associated with the individual identification number and stored in databases 19a and 19b. Specifically, the leaves, stems, flowers, fruits, etc. of the product 12 in a normal state are photographed by the wire mobile imaging camera 3 used in the wire mobile network 2, and similarly, the product 12 with pests is taken. Also take pictures. These normal and abnormal images are stored in the image database 19a, and the AI analysis software 16 learns in advance the difference between the features of the two. In addition, the AI analysis software 16 learns in advance the features of leaves, stems, flowers, fruit shapes, and the like. Next, during the production of crops, the AI analysis software 16 and the application software 17 are operated, and when monitoring and analysis of the crops such as photographing the image of the product 12 with the wire mobile imaging camera 3 is started, the photographed production The image data 14 of the object 12 are stored in the identification database 19b. The AI analysis software 16 analyzes the size of leaves and stems from the photographed image using features learned in advance, counts the number of flowers and fruits, and stores the results in the analysis result database. Save to 19c. Similarly, the AI analysis software 16 utilizes features learned in advance from images to be observed stored in the identification database 19b, analyzes the situation as to whether pests have occurred, and stores the results in the analysis result database 19c. Save to In this way, the product 12 that is desired to be observed by learning in advance the difference in characteristics between normal and abnormal products, and by learning in advance the characteristics such as the shape of flowers, fruits, etc., and using these characteristics at the time of observation. pests, leaves, stems, flowers, and fruits are detected from the image, and the state of the product 12 is recognized by judging the size of the leaves, the count of the fruits, and the like. The analysis result database 19c is notified to the producer 20 of the field 11 and can be viewed from the portable terminal 6a or personal computer 6b of the producer 20. FIG.

1 primary industry product information collection system, 2 wire mobile network, 3 wire mobile imaging camera, 3a wire mobile imaging camera, 3b wire mobile imaging camera, 4 wire mobile sensor, 5 production area, 5a agricultural production area , 5b fishery production area, 5c livestock production area, 6a portable terminal, 6b personal computer, 7 suspension wire (for height direction adjustment), 8 backstay, 9 strut, 10 moving body, 10a forward moving body, 10b backward movement body, 11 field, 11a agricultural field, 11b fishery field, 11c livestock field, 12 product, 12a plant, 12b fish, 12c livestock, 13 wire, 13a main wire, 13b secondary wire, 14 image data, 15 identification data, 16 AI analysis software , 17 application software, 18 cloud, 19a image database, 19b identification database, 19c analysis result database, 19d environment database, 20 producer, 21 unidirectional mobile network, 21a longitudinal mobile network, 21b lateral mobile network, 22 cross-type mobile network, 23 two-way mobile network, 23a orthogonal type mobile network, 24 three-way mobile network, 25 curvilinear mobile network, 26 field division network, 27 linear mobile section , 28 curve moving unit, 29 intersection unit, 30 image control unit, 31 image data transmission unit, 32 length adjustment unit, 33 rotation direction adjustment unit, 34 timer, 36 motor, 37 antenna, 38 sprayer, 39 light emitter or fish attracting unit Light, 40 sensor control unit, 40a camera control unit, 40b sensor control unit, 41 sensor data transmission unit, 42 type authentication unit, 43 individual authentication unit, 45 tank, 46 wire fixing unit, 47 wire high position, 48 wire low position , 49 manual winch, 50 field environment control section, 51 field temperature control section, 52 field humidity control section, 53 field air related control section, 54 field solar radiation amount control section, 55 field water temperature control section, 56 field field Water quality control unit 57 In-field water flow control unit 60 Growth record of product 61 Product position storage unit 62 Mobile position storage unit 63 Pest diagnosis of product 64 Growth diagnosis of product 65 In-field environment Database, 66 aquarium environment database, 67 camera unit, 68 pulley, 68b idler pulley, 69 cover, 83 equipment mounting hook, 84 transparent case, 85 speaker, 86 length adjustment pin, 87 length changer, 88 lip groove shaped steel.

In order to achieve the above object, a primary industry product information collection system according to the present invention forms a wire mobile network by connecting posts installed in fields where products are produced by wires to form a wire mobile network. is a primary industry product information collection system comprising a wire-moving imaging camera that captures image data of the product and a wire-moving sensor that collects identification data of the product; The formula network has a curved moving part with a wire stretched on the curved line, and moves along the curved moving part by self-running, image data or identification data is stored in a database on the cloud by communication, AI analysis software analyzed by software.

Claims (18)

a wire mobile imaging camera that connects posts installed in fields where products are produced to form a wire mobile network, moves on the wire mobile network, and captures image data of the product; A primary industry product information collection system comprising: a moving wire sensor that collects identification data of the product,
The primary industry production, wherein the image data and the identification data are stored in a database on the cloud by communication, analyzed by AI image analysis software, and the analysis results are provided to the receiving terminal of the farm producer. Object information collection system. 2. The primary industry product information collection system according to claim 1, wherein the AI image analysis software analyzes the image data or the identification data collected by the moving wire imaging camera and the moving wire sensor. a primary industry product information collection system, wherein the product type is recognized from the characteristics of the product and stored in a database. 3. The primary industry product information collection system according to claim 1 or 2, wherein said AI image analysis software identifies individual characteristics of said product from said image data or said identification data of said product, and said A primary industry product information collection system characterized by assigning an individual identification number to each product, and storing the image data or the identification data together with the recognized type in a database in association with the individual identification number. 4. The primary industry product information collection system according to claim 3, wherein said moving wire imaging camera and said moving wire sensor are used to obtain information about said product from leaf vein data, leaf shape data, color data, and pattern data of a plant. A primary industry product information collection system characterized by recognizing the characteristics of an individual and storing in the database the vein data, leaf shape data, color data, and pattern data associated with the individual identification number. 4. A primary industry product information collection system according to claim 3, wherein said wire-moving imaging camera and said wire-moving sensor are used to collect livestock facial expression data, coat data, pattern data, bark data, gesture data and movement data. and identifying individual features of the product from the odor data, and storing the facial data, coat data, pattern data, cry data, gesture data/movement data, and odor data associated with the individual identification number in the database. A primary industry product information collection system characterized by: 4. The primary industry product information collection system according to claim 3, wherein said moving wire type imaging camera and said moving wire type sensor are configured to obtain said data from fish scale data, overall shape data, part shape data such as fins, and pattern data. Primary industry product information characterized by identifying individual characteristics of a product, and storing in the database the scale data, the overall shape data, the part shape data such as fins, and the pattern data linked to the individual identification number. collection system. 7. A primary industry product information collection system according to any one of claims 1 to 6, wherein the wire of the wire-moving network connects with the wire-moving imaging camera and the wire-moving sensor. A pulley that pushes the wire upward and a plurality of idler pulleys arranged on both sides of the pulley push the wire downward. A primary industry product information collection system characterized by moving a pulley along the wire. 8. The primary industry product information gathering system according to any one of claims 1 to 7, wherein said wire-moving imaging camera and said wire-moving sensor are vertically arranged according to a position where a pin is inserted into a long hole. A primary industry product information collection system characterized by being connected by a length adjusting part whose distance is adjustable. 9. The primary industry product information collection system according to any one of claims 1 to 8, wherein the wire moving imaging camera and the wire moving sensor are integrated with a sensor control unit by a length adjustment unit, A primary industry product information collection system characterized by running on the wire while rotating with a pulley interlocking with the rotation of a motor. 10. A primary industry product information collection system according to any one of claims 1 to 9, wherein said mobile wire network is configured such that a moving object having said mobile wire imaging camera and said mobile wire sensor is linearly connected. and a curvilinear movement portion in which the mover moves in a curvilinear manner, the mover moving in relation to the position on the wire moving network of the product stored in the database: A primary industry product characterized in that the position can be detected from a history of accumulated moving distance of the linear moving part or accumulated moving distance of the curved moving part from a specific starting point stored in the database. Information gathering system. 11. A primary industry product information collection system according to any one of claims 1 to 10, wherein the wire moving imaging camera is configured to move the wire by means of a forward moving body and a rear moving body having front and rear wheels, respectively. and adjusting the angle of the suspension wire between the forward moving body and the backward moving body to set a vertical photographing position according to the product for photographing. Product information collection system. 12. The primary industry product information collection system according to any one of claims 1 to 11, wherein the curved moving part has a running rail for the wire formed of shaped steel processed into a curved shape, and the moving part A primary industry product information gathering system using a wire moving network, characterized in that the body is movable in a curved line along the shaped steel. 13. The primary industry product information gathering system according to any one of claims 1 to 12, wherein said moving body changes its moving direction around said support in a curved moving part supported by a support, and A primary industry product information collecting system, wherein the moving direction of the mobile imaging camera and the wire-moving sensor is changed to another adjacent linear moving part. 14. The primary industry product information collection system according to any one of claims 1 to 13, wherein when the moving bodies collide with each other because the wires cross each other, one wire is used as the main wire, and the The moving body that moves the main wire is preferentially passed through, the other wire is used as the sub wire, and the moving body that moves the sub wire is turned back at the intersection to avoid collision. Industrial product information collection system. 15. The primary industry product information collection system according to any one of claims 1 to 14, wherein the wire moving sensor detects the movement of the wire moving sensor when a vermin or bird intrudes into the field. A speaker suspended from a network emits a sound that the vermin or bird dislikes; a light emitter suspended from the wire-mobile network emits a light that frightens the vermin or bird; 1. A primary industry product information collection system characterized by repelling a vermin or a bird by emitting an odor to which the vermin or the bird is avoided. 16. The primary industry product information gathering system of any one of claims 1-15, wherein a sprayer containing any of water, fertilizers, pesticides, and herbicides feeds the wire moving network. A primary industry product information collection system characterized in that it is moved to a predetermined position in said farm field via a primary industry product and is automatically sprayed on said more appropriate product. 17. A primary industry produce information collection system according to any one of the preceding claims, wherein the sprayer detects if the product leaves block the line of sight of the moving wire imaging camera. automatically blowing air onto the leaves to secure the line of sight of the wire-moving imaging camera. 18. The primary industry product information collection system according to any one of claims 1 to 17, wherein a fishing light is moved to a predetermined position in the field via the wire mobile network, and the A primary industry product information gathering system characterized by illuminating a fish-attracting light to attract fish around the wire-moving imaging camera, and diagnosing the collected fish by the wire-moving imaging camera.

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