CN111667668A - Tomato seedling disease monitoring and early warning device and method based on Internet of things - Google Patents
Tomato seedling disease monitoring and early warning device and method based on Internet of things Download PDFInfo
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Abstract
The invention discloses a tomato seedling disease monitoring and early warning device and method based on the Internet of things, belonging to the technical field of disease monitoring and early warning, comprising a monitor and an early warning device which are arranged on a station, wherein the monitor and the early warning device are in data transmission, a turntable rotating mechanism, a telescopic monitoring mechanism, a power mechanism and a power adjusting and transferring mechanism are arranged in the monitor, the power adjusting and transferring mechanism and the power mechanism move up and down but do not separate, the power adjusting and transferring mechanism is driven by the power mechanism to rotate synchronously, the power adjusting and transferring mechanism descends to be connected with the turntable rotating mechanism to drive the monitor to rotate in the horizontal direction, the device is used for monitoring tomato seedlings in all directions on the station, the power adjusting and transferring mechanism ascends to be meshed with the telescopic monitoring mechanism to drive the extension or shortening of a camera of the power adjusting and transferring mechanism, the monitoring range, and transmitting the monitoring result to the early warning device, and carrying out early warning according to the disease grade.
Description
Technical Field
The invention relates to the technical field of disease monitoring and early warning, in particular to a tomato seedling disease monitoring and early warning device and method based on the Internet of things.
Background
The tomato seedlings have the height of 0.6-2 m, and all the tomato seedlings generate mucilaginous gland hairs and have strong smell. The stem is easy to fall down. The leaf has pinnate multiple leaves or 2113 pinnate deep cracks, the length is 10-40 cm, the small leaves are extremely irregular and have different sizes, the length is 5-9, the leaves are oval or rectangular and round, the length is 5-7 cm, the edge is provided with irregular sawteeth or splinters, the total stem length of the inflorescence is 2-5 cm, and the length is 3-7 flowers; the length of the flower stalk is 1-1.5 cm; calyx is spoke-shaped, the lobe is needle-shaped, and the fruit stays in the fruit; corolla spoke-shaped, the diameter is about 2 cm, yellow, berry is flat or nearly spherical, the pulp is succulent, orange or bright red, and the light 5261 is smooth; the seeds were yellow. The technology of internet and internet of things is gradually applied to the production process of agriculture and forestry in summer and autumn in flower and fruit period, corresponding achievements exist, but tomato seedlings can be infected by germs in the development period, real-time monitoring and early warning are needed in the disease high-incidence period, the monitoring of the existing monitoring and early warning is achieved through infrared temperature sensing, the monitoring range is small, and accurate monitoring cannot be achieved.
Disclosure of Invention
The invention aims to provide a tomato seedling disease monitoring and early warning device and method based on the Internet of things, and aims to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a tomato seedling disease monitoring and early warning device based on the Internet of things comprises a monitor and an early warning device which are installed on a station, data transmission is carried out between the monitor and the early warning device, a turntable rotating mechanism, a telescopic monitoring mechanism, a power mechanism and a power adjusting transfer mechanism are installed in the monitor, the power adjusting transfer mechanism and the power mechanism do not move up and down and do not separate, the power adjusting transfer mechanism synchronously rotates under the driving of the power mechanism, the power adjusting transfer mechanism descends to be connected with the turntable rotating mechanism to drive the monitor to rotate in the horizontal direction and is used for monitoring tomato seedlings in all directions of the station, the power adjusting transfer mechanism ascends to drive the extension or shortening of a camera of the power adjusting transfer mechanism in a meshed mode with the telescopic monitoring mechanism and is used for expanding the monitoring range of the station, the monitor monitors the disease state of the tomato seedlings and, the early warning device transmits the digital signals converted from the monitoring results through the Internet of things and carries out early warning according to the digital signals.
Furthermore, the rotary table rotating mechanism comprises a supporting plate, a ring frame, an inserting cylinder and a lower rotating shaft, wherein the ring frame is fixed on the supporting plate, the inserting cylinder is installed on the supporting plate at the circle center of the ring frame, the ring frame is movably connected with the monitor through a ball, the bottom end of the lower rotating shaft is inserted into the inserting cylinder, the top end of the lower rotating shaft is fixed inside the monitor, a groove hole is machined in the top end of the lower rotating shaft, and a baffle is machined at the bottom of the groove hole.
Further, flexible monitoring mechanism includes the camera, has internal screw thread sleeve, guide cylinder and lead screw, and the guide cylinder is fixed on the monitor, and one end is located the outside, and gliding sleeve is gone into to the one end card of guide cylinder, and the camera is located the monitor outside and fixes on the sleeve, and the lead screw of sleeve internal gearing extends to the outside of guide cylinder.
Further, power unit includes motor and rotation axis, and the motor is installed in the monitor, and the rotation axis meets with the output shaft of motor, and the bottom of rotation axis is along axial processing spout.
Furthermore, the power adjusting transfer mechanism comprises a transfer shell, an upper rod, a transfer block, conical teeth and an insert rod, wherein the transfer shell is fixed with the monitor, the upper rod connected with the top end of the transfer block is inserted into a chute of the rotating shaft, the conical teeth are welded on the bottom end of the transfer block and a lead screw extending into the transfer shell, the insert rod welded at the center of the conical teeth is inserted into a slotted hole of the lower rotating shaft, and a push plate contacted with the baffle plate when the insert rod descends is connected.
Furthermore, a lifting device for driving the rotating block to move up and down is arranged in the monitor.
Furthermore, the early warning device is internally provided with a signal processing module, a microprocessor, a controller, an alarm module and an internet of things module, the monitor generates information to the signal processing module through a camera, the signal processing module is connected with the controller through the microprocessor, the microprocessor converts the information and sends the information to the controller according to the information, the controller drives the alarm module and the internet of things module to work, and the early warning device sends out early warning signals and directly transmits the information through the internet of things.
The invention provides another technical scheme, which comprises a method for monitoring and early warning by using a tomato seedling disease monitoring and early warning device based on the Internet of things, and the method comprises the following steps:
s1: the lifting equipment works to drive the transfer block to move upwards, and the upper rod of the transfer block can slide along the sliding groove until the conical teeth of the transfer block are meshed with the conical teeth of the lead screw;
s2: the motor works, in the process of the rotation of the motor, the rotating shaft transmits rotating power to the screw rod, and in the process of the rotation of the screw rod, the sleeve drives the sleeve to horizontally extend or shorten due to the fact that the upper end and the lower end of the sleeve are clamped, so that the infrared camera is driven to extend or shorten, and the diameter of a monitoring range is controlled;
s3: the lifting equipment works to drive the transfer block to move downwards, the upper rod of the transfer block can slide along the sliding groove, and the conical teeth of the transfer block are separated from the conical teeth of the lead screw;
s4: the inserted bar is inserted into the slotted hole of the lower rotating shaft, and the inserted bar descends to be in contact with the baffle plate, so that the inserted bar is blocked by the baffle plate in the working process of the motor, the rotating power generated by the motor reversely enables the monitor to rotate along the ring frame, and the camera is driven to rotate, so that the omnibearing monitoring of a station is completed;
s5: the camera shoots the images of the tomato seedlings in the rotating and stretching processes, the data are transmitted to a microprocessor in the early warning device, each obtained new image is filtered, the detected specific target is compared with the similarity, the disease abnormal activity in the picture is detected in real time by adopting the real-time video shot by the static camera, the disease type is accurately positioned through the similarity comparison algorithm, and the alarm module and the Internet of things module are controlled to work, transmit and early warn.
Further, in S5, the monitor collects disease states of tomato seedlings, including disease areas, shapes, temperatures, pictures and video information, extracts temperatures, pigments, structures and textures of the tomato seedlings according to a graph processing algorithm to accurately locate disease degrees, and sends early warning signals of different grades to the early warning device according to the disease degrees.
Compared with the prior art, the invention has the beneficial effects that: the invention provides a tomato seedling disease monitoring and early warning device and method based on the Internet of things, wherein a power adjusting and transferring mechanism synchronously rotates under the driving of a power mechanism, the power adjusting and transferring mechanism descends and is connected with a rotary table rotating mechanism to drive a monitor to rotate in the horizontal direction, the power adjusting and transferring mechanism is used for monitoring tomato seedlings in all directions at a site, the power adjusting and transferring mechanism ascends and is meshed with a telescopic monitoring mechanism to drive the extension or shortening of a camera of the power adjusting and transferring mechanism to expand the monitoring range of the site, the monitor monitors the disease state of the tomato seedlings, each acquired new image is filtered, the detected specific target is compared with the similarity, a real-time video shot by a static camera is adopted to detect abnormal disease activity in a picture in real time, and the disease type is accurately positioned through a similarity comparison algorithm, wherein the abnormal disease type comprises a disease area, the picture and video information are extracted according to a graph processing algorithm, the temperature, the pigment, the structure and the texture of the tomato seedling disease are extracted, the disease degree is accurately positioned, early warning signals of different grades are sent to an early warning device according to the disease degree, and an alarm module and an internet of things module are controlled to work, transmit and early warn.
Drawings
FIG. 1 is an overall block diagram of the present invention;
FIG. 2 is a view of the internal structure of the monitor of the present invention;
FIG. 3 is a block diagram of the telescoping monitoring mechanism of the present invention;
FIG. 4 is a connection diagram of the turntable rotating mechanism and the power adjusting transfer mechanism according to the present invention;
FIG. 5 is a connection diagram of the power adjusting transfer mechanism and the telescopic monitoring mechanism according to the present invention;
fig. 6 is a connection diagram of the early warning device module of the present invention.
In the figure: 1. a monitor; 2. a turntable rotating mechanism; 21. a support plate; 22. a ring frame; 23. inserting a cylinder; 24. a lower rotating shaft; 241. a slot; 2411. a baffle plate; 3. a telescoping monitoring mechanism; 31. a camera; 32. a sleeve; 33. a guide cylinder; 34. a lead screw; 4. a power mechanism; 41. a motor; 42. a rotating shaft; 421. a chute; 5. a power adjusting transfer mechanism; 51. a transfer shell; 52. a rod is arranged; 53. a transfer block; 54. a tapered tooth; 55. inserting a rod; 7. an early warning device; 71. a signal processing module; 72. a microprocessor; 73. a controller; 74. an alarm module; 75. and the Internet of things module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a tomato seedling disease monitoring and early warning device based on the internet of things comprises a monitor 1 and an early warning device 7 which are installed on a station, data transmission is performed between the monitor 1 and the early warning device 7, a turntable rotating mechanism 2, a telescopic monitoring mechanism 3, a power mechanism 4 and a power adjusting transfer mechanism 5 are installed in the monitor 1, the power adjusting transfer mechanism 5 and the power mechanism 4 do not move up and down and do not separate, the power adjusting transfer mechanism 5 is driven by the power mechanism 4 to rotate synchronously, the power adjusting transfer mechanism 5 descends to be connected with the turntable rotating mechanism 2 to drive the monitor 1 to rotate in the horizontal direction, the device is used for monitoring tomato seedlings in all directions on the station, the power adjusting transfer mechanism 5 ascends to be engaged with the telescopic monitoring mechanism 3 to drive the camera 31 to extend or shorten, the monitoring range of the station is used for expanding the monitoring range of the station, and the monitoring result is transmitted to the early warning device 7, wherein the early warning device 7 transmits the digital signal converted from the monitoring result through the Internet of things, early warning is carried out according to the digital signal, the monitor 1 and the early warning device 7 are used for monitoring tomato seedling diseases around the site in real time, the monitored image information is sent to the early warning device 7, and the early warning device 7 rapidly transmits the grade damage of the seedling diseases in a mode of transmitting through the Internet of things.
Referring to fig. 2, the turntable rotating mechanism 2 includes a supporting plate 21, a ring frame 22, an inserting cylinder 23 and a lower rotating shaft 24, the ring frame 22 is fixed on the supporting plate 21, the inserting cylinder 23 is installed on the supporting plate 21 at the center of the ring frame 22, the ring frame 22 is movably connected with the monitor 1 through balls, the bottom end of the lower rotating shaft 24 is inserted into the inserting cylinder 23, the top end of the lower rotating shaft 24 is fixed inside the monitor 1, a slot 241 is processed at the top end of the lower rotating shaft 24, a baffle 2411 is processed at the bottom of the slot 241, friction force generated when the monitor 1 rotates can be reduced through arrangement of the balls, the rotation of the motor 41 can be blocked by the design of the baffle 2411, and power generated by the power mechanism 4 is transmitted to the monitor 1, and the monitoring of the range is completed.
Referring to fig. 3, the telescopic monitoring mechanism 3 includes a camera 31, a sleeve 32 with an internal thread, a guide cylinder 33 and a screw 34, the guide cylinder 33 is fixed on the monitor 1, one end of the guide cylinder 33 is located in the monitor 1, the other end of the guide cylinder 33 is located outside, one end of the guide cylinder 33 is clamped into the sliding sleeve 32, the camera 31 is located outside the monitor 1 and fixed on the sleeve 32, the screw 34 engaged with the sleeve 32 extends to the outside of the guide cylinder 33, the camera 31 has an infrared function, and the temperature of the seedling is sensed in real time during shooting by the camera 31.
Referring to fig. 4-5, the power mechanism 4 includes a motor 41 and a rotating shaft 42, the motor 41 is installed in the monitor 1, the rotating shaft 42 is connected to an output shaft of the motor 41, a sliding slot 421 is formed in a bottom end of the rotating shaft 42 along an axial direction, the power adjusting transfer mechanism 5 includes a transfer case 51, an upper rod 52, a transfer block 53, a tapered tooth 54 and an insert rod 55, the transfer case 51 is fixed to the monitor 1, the upper rod 52 connected to a top end of the transfer block 53 is inserted into the sliding slot 421 of the rotating shaft 42, a lifting device for driving the transfer block 53 to move up and down is installed in the monitor 1, the tapered tooth 54 is welded to a bottom end of the transfer block 53 and a lead screw 34 extending into the transfer case 51, the insert rod 55 welded to a center of the tapered tooth 54 is inserted into a slot 241 of the lower rotating shaft 24, and a push plate contacting the baffle 2411.
Referring to fig. 6, a signal processing module 71, a microprocessor 72, a controller 73, an alarm module 74 and an internet of things module 75 are arranged inside the early warning device 7, the monitor 1 generates information through the camera 31 and sends the information to the signal processing module 71, the signal processing module 71 is connected with the controller 73 through the microprocessor 72, the microprocessor 72 converts the information and sends the information to the controller 73 according to the information, the alarm module 74 and the internet of things module 75 are driven to work through the controller 73, and the early warning signal is sent while the information is directly transmitted through the internet of things.
In order to better show the monitoring and early warning process of the disease monitoring and early warning device, the embodiment provides a method for monitoring and early warning of the tomato seedling disease monitoring and early warning device based on the internet of things, which comprises the following steps:
the method comprises the following steps: the rotating block 53 moves upwards through the operation of the lifting device, and the upper rod 52 of the rotating block 53 slides along the sliding groove 421 until the conical teeth 54 of the rotating block 53 are meshed with the conical teeth 54 of the lead screw 34;
step two: the motor 41 works, in the rotating process of the motor 41, the rotating shaft 42 transmits rotating power to the lead screw 34, and in the rotating process of the lead screw 34, the sleeve 32 drives the sleeve 32 to horizontally extend or shorten due to the fact that the upper end and the lower end of the sleeve 32 are clamped, so that the camera 31 with infrared rays is driven to extend or shorten, and the diameter of a monitoring range is controlled;
step three: the rotating block 53 moves downwards through the operation of the lifting device, the upper rod 52 of the rotating block 53 slides along the chute 421, and the conical teeth 54 of the rotating block 53 are disengaged from the conical teeth 54 of the lead screw 34;
step four: the inserted link 55 is inserted into the slot 241 of the lower rotating shaft 24, and the inserted link 55 descends to contact with the baffle 2411, and is blocked by the baffle 2411 in the working process of the motor 41, and the rotating power generated by the motor 41 reversely enables the monitor 1 to rotate along the ring frame 22 to drive the camera 31 to rotate, so that the omnibearing monitoring of the station is completed;
step five: the camera 31 shoots the tomato seedling images in the rotating and stretching processes, and transmits the data to the microprocessor 72 in the early warning device 7, wherein, the monitor 1 collects the disease state of tomato seedlings, including disease area, shape, temperature, picture and video information, according to the graph processing algorithm, the temperature, the pigment, the structure and the texture of the tomato seedling disease are extracted to accurately position the disease degree, early warning signals of different grades are sent to an early warning device 7 according to the disease degree, filtering each new image, comparing the detected specific target with the similarity, detecting abnormal disease activity in the image in real time by using the real-time video shot by the static camera 31, and the disease types are accurately positioned through a similarity comparison algorithm, and the alarm module 74 and the internet of things module 75 are controlled to work, transmit and early warn.
The camera 31 extracts hollow and non-connected parts of the foreground object from the static image by using texture information and boundary information in the image and obtaining a good segmentation effect only through a small amount of user interaction operation, detects the outlines of all connecting blocks, grades each outline, the outermost periphery, the first inner periphery and the second inner periphery, determines the maximum external connecting block through setting offset, and accordingly determines the grade of the disease and transmits early warning signals of different grades.
In summary, the following steps: the invention relates to a tomato seedling disease monitoring and early warning device and method based on the Internet of things, wherein a power adjusting and transferring mechanism 5 synchronously rotates under the driving of a power mechanism 4, the power adjusting and transferring mechanism 5 descends and is connected with a turntable rotating mechanism 2 to drive a monitor 1 to rotate in the horizontal direction for monitoring tomato seedlings in all directions at a station, the power adjusting and transferring mechanism 5 ascends and is meshed with a telescopic monitoring mechanism 3 to drive the extension or shortening of a camera 31 of the power adjusting and transferring mechanism for expanding the monitoring range of the station, the monitor 1 monitors the disease state of the tomato seedlings, each acquired new image is filtered, the detected specific target is compared with the similarity, a real-time video shot by a static camera 31 is adopted to detect abnormal activity of the disease in a picture in real time, and the disease types including a disease area, a disease area and a, The shape, the temperature, the picture and the video information are extracted according to a graph processing algorithm, the temperature, the pigment, the structure and the texture of the tomato seedling disease are extracted, the disease degree is accurately positioned, early warning signals of different grades are sent to the early warning device 7 according to the disease degree, and the alarm module 74 and the internet of things module 75 are controlled to work, transmit and early warn.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical solutions and the inventive concepts of the present invention within the technical scope of the present invention.
Claims (9)
1. A tomato seedling disease monitoring and early warning device based on the Internet of things is characterized by comprising a monitor (1) and an early warning device (7) which are installed on a station, data transmission is carried out between the monitor (1) and the early warning device (7), a turntable rotating mechanism (2), a telescopic monitoring mechanism (3), a power mechanism (4) and a power adjusting transfer mechanism (5) are installed in the monitor (1), the power adjusting transfer mechanism (5) and the power mechanism (4) do not move up and down and do not separate, the power adjusting transfer mechanism (5) synchronously rotates under the driving of the power mechanism (4), the power adjusting transfer mechanism (5) descends to be connected with the turntable rotating mechanism (2) to drive the monitor (1) to rotate in the horizontal direction, the tomato seedling monitoring device is used for omnibearing at the station to monitor seedlings, the power adjusting transfer mechanism (5) ascends to be meshed with the telescopic monitoring mechanism (3) to drive the extension or the shortening of a camera (31, the monitoring device is used for expanding the monitoring range of a station, the monitor (1) monitors the disease state of tomato seedlings and transmits the monitoring result to the early warning device (7), wherein the early warning device (7) transmits the digital signal converted from the monitoring result through the Internet of things and carries out early warning according to the digital signal.
2. The tomato seedling disease monitoring and early warning device based on the Internet of things as claimed in claim 1, wherein the turntable rotating mechanism (2) comprises a supporting plate (21), a ring frame (22), an inserting cylinder (23) and a lower rotating shaft (24), the ring frame (22) is fixed on the supporting plate (21), the inserting cylinder (23) is installed on the supporting plate (21) at the center of the ring frame (22), the ring frame (22) is movably connected with the monitor (1) through a ball, the bottom end of the lower rotating shaft (24) is inserted into the inserting cylinder (23), the top end of the lower rotating shaft (24) is fixed inside the monitor (1), a slot (241) is machined at the top end of the lower rotating shaft (24), and a baffle (2411) is machined at the bottom of the slot (241).
3. The tomato seedling disease monitoring and early warning device based on the Internet of things is characterized in that the telescopic monitoring mechanism (3) comprises a camera (31), a sleeve (32) with an internal thread, a guide cylinder (33) and a lead screw (34), the guide cylinder (33) is fixed on the monitor (1), one end of the guide cylinder is positioned in the monitor (1), the other end of the guide cylinder is positioned outside, one end of the guide cylinder (33) is clamped into the sliding sleeve (32), the camera (31) is positioned outside the monitor (1) and fixed on the sleeve (32), and the lead screw (34) engaged with the sleeve (32) extends to the outside of the guide cylinder (33).
4. The tomato seedling disease monitoring and early warning device based on the Internet of things as claimed in claim 1, wherein the power mechanism (4) comprises a motor (41) and a rotating shaft (42), the motor (41) is installed in the monitor (1), the rotating shaft (42) is connected with an output shaft of the motor (41), and the bottom end of the rotating shaft (42) is provided with a chute (421) along the axial direction.
5. The tomato seedling disease monitoring and early warning device based on the Internet of things as claimed in claim 1, wherein the power adjusting transfer mechanism (5) comprises a transfer shell (51), an upper rod (52), a transfer block (53), conical teeth (54) and an insert rod (55), the transfer shell (51) is fixed with the monitor (1), the upper rod (52) connected to the top end of the transfer block (53) is inserted into a sliding groove (421) of the rotating shaft (42), the conical teeth (54) are welded to the bottom end of the transfer block (53) and a lead screw (34) extending into the transfer shell (51), the insert rod (55) welded to the center of the conical teeth (54) is inserted into a groove hole (241) of the lower rotating shaft (24), and a push plate contacted with the baffle plate (2411) when the insert rod (55) descends is connected.
6. The tomato seedling disease monitoring and early warning device based on the internet of things as claimed in claim 1, wherein a lifting device for driving the rotating block (53) to move up and down is installed in the monitor (1).
7. The tomato seedling disease monitoring and early warning device based on the Internet of things as claimed in claim 1, wherein a signal processing module (71), a microprocessor (72), a controller (73), an alarm module (74) and an Internet of things module (75) are arranged in the early warning device (7), the monitor (1) generates information through a camera (31) and sends the information to the signal processing module (71), the signal processing module (71) is connected with the controller (73) through the microprocessor (72), the microprocessor (72) converts the information and sends the information to the controller (73) according to the information, the controller (73) drives the alarm module (74) and the Internet of things module (75) to work, and the early warning signal is sent while the information is directly transmitted through the Internet of things.
8. The method for monitoring and early warning tomato seedling diseases based on the Internet of things as claimed in claims 1-7, characterized by comprising the following steps:
s1: the rotating block (53) is driven to move upwards by the operation of the lifting equipment, and an upper rod (52) of the rotating block (53) slides along the sliding groove (421) until the conical teeth (54) of the rotating block (53) are meshed with the conical teeth (54) of the lead screw (34);
s2: the motor (41) works, in the rotating process of the motor (41), the rotating shaft (42) transmits rotating power to the lead screw (34), and in the rotating process of the lead screw (34), the sleeve (32) is clamped at the upper end and the lower end to drive the sleeve (32) to horizontally extend or shorten, so that the camera (31) with infrared is driven to extend or shorten, and the diameter of a monitoring range is controlled;
s3: the rotating block (53) moves downwards through the working of the lifting equipment, the upper rod (52) of the rotating block (53) slides along the sliding groove (421), and the conical teeth (54) of the rotating block (53) are separated from the conical teeth (54) of the screw rod (34);
s4: the inserted link (55) is inserted into the slotted hole (241) of the lower rotating shaft (24), the inserted link (55) descends to be in contact with the baffle (2411), the baffle (2411) blocks the motor (41) in the working process, the rotating power generated by the motor (41) reversely enables the monitor (1) to rotate along the ring frame (22) to drive the camera (31) to rotate, and therefore all-directional monitoring of the station is completed;
s5: the camera (31) shoots the images of the tomato seedlings in the rotating and stretching processes, the data are transmitted to a microprocessor (72) in the early warning device (7), each obtained new image is filtered, the detected specific target is compared with the similarity, a real-time video shot by the static camera is adopted to detect abnormal activities of diseases in the picture in real time, the disease types are accurately positioned through a similarity comparison algorithm, and the alarm module (74) and the Internet of things module (75) are controlled to work, transmit and early warn.
9. The method for monitoring and early warning tomato seedling diseases based on the internet of things as claimed in claim 8, wherein in step S5, the monitor (1) collects tomato seedling disease states including disease areas, shapes, temperatures, pictures and video information, extracts the temperature, pigments, structures and textures of tomato seedling diseases according to a graph processing algorithm to accurately locate the disease degree, and sends early warning signals of different grades to the early warning device (7) according to the disease degree.
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