CN200996939Y - Early diagnostic device for plant leaf and canopy botrytis - Google Patents
Early diagnostic device for plant leaf and canopy botrytis Download PDFInfo
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- CN200996939Y CN200996939Y CN 200620140377 CN200620140377U CN200996939Y CN 200996939 Y CN200996939 Y CN 200996939Y CN 200620140377 CN200620140377 CN 200620140377 CN 200620140377 U CN200620140377 U CN 200620140377U CN 200996939 Y CN200996939 Y CN 200996939Y
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- 241001465180 Botrytis Species 0.000 title claims description 10
- 238000000701 chemical imaging Methods 0.000 claims abstract description 24
- 238000002310 reflectometry Methods 0.000 claims abstract description 15
- 238000013399 early diagnosis Methods 0.000 claims abstract description 7
- 238000009434 installation Methods 0.000 claims description 4
- 238000003384 imaging method Methods 0.000 abstract 1
- 241000196324 Embryophyta Species 0.000 description 36
- 201000010099 disease Diseases 0.000 description 13
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 13
- 238000010191 image analysis Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 7
- 238000001514 detection method Methods 0.000 description 6
- 239000003814 drug Substances 0.000 description 5
- 241001237160 Kallima inachus Species 0.000 description 4
- 206010039509 Scab Diseases 0.000 description 4
- 239000002689 soil Substances 0.000 description 4
- 239000007921 spray Substances 0.000 description 4
- 230000007704 transition Effects 0.000 description 4
- 241000219739 Lens Species 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
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- 238000000605 extraction Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 238000002405 diagnostic procedure Methods 0.000 description 2
- 238000002329 infrared spectrum Methods 0.000 description 2
- 238000001429 visible spectrum Methods 0.000 description 2
- 108091028043 Nucleic acid sequence Proteins 0.000 description 1
- 238000012300 Sequence Analysis Methods 0.000 description 1
- 239000003905 agrochemical Substances 0.000 description 1
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- 230000012010 growth Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 208000015181 infectious disease Diseases 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000036651 mood Effects 0.000 description 1
- 150000007523 nucleic acids Chemical group 0.000 description 1
- 230000008635 plant growth Effects 0.000 description 1
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- 230000000007 visual effect Effects 0.000 description 1
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Abstract
A device used for early diagnosis of the gray mold on the leaf blades and the canopies of the plant. The device comprises a visible/near infrared multi-spectral imaging instrument, a setting mechanism for the imaging instrument, an image collection card, a computer, a reflectivity dynamic demarcation plate and the illuminant. The visible/near infrared multi-spectral imaging instrument is connected with the computer via the RS-232 gorge line and the data line for the image collection card.
Description
Technical field
The utility model relates to a kind of plant leaf blade and crown botrytis evil early diagnosis device, refer in particular to a kind of based on as seen/plant leaf blade and the crown botrytis of near infrared multispectral imaging do harm to the early diagnosis device.
Background technology
The plant botrytis evil is very serious for the harm of plant growth.Disease not only can cause the product output of economic plants and the decline of quality, can cause a large amount of inputs of medicines such as agricultural chemicals and the rising of expenses for prevention and control simultaneously, thereby has increased the agricultural and forestry production cost and can cause serious environmental to pollute.Existing disease detection method all exists aspects such as sampling, mensuration, data analysis need expend the shortcoming of great amount of manpower and material resources in actual agriculture and forestry are produced, and real-time is poor, can't satisfy concrete need of production practice.Naked-eye observation exists the interference of subjective factors such as fatigue, mood; Based on the detection method of molecular level, as biometric techniques, nucleic acid sequence analysis technology, molecular marking technique, round pcr etc., though comparatively accurate, can not true-time operation, and need the professional to operate, consuming time, cost is higher; The statistical forecast of being undertaken by disease generation data in the past lacks actual effect not high enough aspect the precision, and only is applicable in a very big territorial scope and carries out guestimate, is difficult to sub-district or individual plant are carried out.
As seen/the near infrared multispectral imaging technology is a kind of technology that can gather wave band digital pictures such as visible spectrum and infrared spectrum simultaneously and analyze.It combines the strong point of spectral analysis technique (sensitive band extraction) and computer image processing technology, can remedy the more weak and narrow shortcoming of RGB image receptive field of spectrometer antijamming capability simultaneously.At complicated external environment condition and different plant variety, utilize visible/near infrared multispectral imaging technology, handle colouring information, shape information and the characteristic information of plant in visible spectrum and the infrared spectrum image simultaneously, plant healthy growth situation is carried out accurate detection.
Summary of the invention
It is a kind of simple in structure that the utility model provides, easy to make, use visible/near infrared multispectral imaging technology, can gather the visible/near infrared multispectral picture information of measured leaf and canopy quickly and accurately, analysis obtains the gradient of infection of tested plant botrytis evil, thereby realizes the diagnostic device of the plant botrytis evil detection of real non-destructive.
A kind of based on as seen/plant leaf blade of near infrared multispectral imaging and crown botrytis evil early diagnosis device, comprise visible/near infrared multispectral imaging instrument, imager stationary installation, image pick-up card, computing machine, reflectivity dynamic calibration plate and light source, visible/near infrared multispectral imaging instrument near infrared multispectral imaging instrument respectively is connected with computing machine by RS-232 Serial Port Line and image acquisition data line card.
Computing machine is provided with image analysis processing software.
The RS-232 serial port is controlled visible/near infrared multispectral imaging instrument and is gathered by the canopy of measuring plants image and reflectivity dynamic calibration plate image, by image collection card input computing machine, it is red that image analysis processing software is analyzed the plant canopy image, the information of green and three channel image of near infrared, by reflectivity dynamic calibration plate the grayvalue transition of these three channel image information is become reflectance value, separate Soil Background, remove earth, disturbing factors such as dead leaf, extraction is by the disease information of measuring plants, and diagnosis is by the measuring plants position that occurs of introduced disease and illness whether.
Described visible/the used light source of near infrared multispectral imaging instrument collection image is a daylight, adopts artificial light source when the indoor no DT.
Image analysis processing software may further comprise the steps the diagnostic procedure of the tested plant canopy image that collects:
1) gray-scale value by reflectivity dynamic calibration plate each picture element in red, green, three channel images of near infrared of tested plant canopy image and corresponding reflectance value thereof are set up linear dependence relation between the two;
2), the grayvalue transition of image is become reflectance value by the ganmma controller value set up and the linear relationship of reflectance value;
3) by the picture information of near infrared passage, Soil Background in the image is separated with plant;
4) reject earth, dead leaf etc. and the similar disturbing factor of scab color size on the plant image;
5) determine the position at illness place and judge the disease order of severity according to the size of scab, shape, shade etc.;
6) whether analysis decision sprays medicine to taking plant, and definite dosage, shower nozzle shape and spray pharmacopoeia class.
Compare with traditional disease detection means, the utility model device has the following advantages:
(1) powerful, can realize quick, accurate, stable, real-time, the nondestructive diagnosis of various plants grey mold disease, and accomplish that early disease detects as much as possible;
(2) device is simple, and whole detection device only is made up of a visible/near infrared multispectral imaging device, an image pick-up card, a computing machine, a reflectivity dynamic calibration plate;
(3) easy to use, when each assembly of measurement mechanism all connect finish after, last image acquisition analytical work is finished by image analysis processing software;
(4) by carrying out drug treating to detecting the plant that catches an illness, can reduce owing to spraying the drug dose that causes comprehensively, reduce production costs and reduce pollution.
Description of drawings
Fig. 1 is the structural principle block diagram of the utility model device;
Fig. 2 is the control flow chart of image analysis processing software.
Embodiment
As shown in Figure 1, a kind of based on as seen/plant leaf blade of near infrared multispectral imaging and crown botrytis evil early diagnosis device, comprise visible/near infrared multispectral imaging instrument, imager stationary installation, image pick-up card, computing machine, reflectivity dynamic calibration plate and light source, as seen/and near infrared multispectral imaging instrument difference near infrared multispectral imaging instrument passes through the RS-232 Serial Port Line and the image acquisition data line card is connected with computing machine, and computing machine is provided with image analysis processing software.
As seen/(Charge CoupledDevice, CCD) gather by the canopy image of measuring plants and reflectivity dynamic calibration plate image in real time by sensor by three charge-coupled image sensors for the near infrared multispectral imaging instrument.The RS-232 serial port is used for the control of image acquisition.Image comprises green light band (550nm ± 40nm), red spectral band (650nm ± 40nm), near-infrared band (the monochrome image of three waveband channels of 800nm ± 40nm), image information is imported computing machine by image collection card, image analysis processing software is analyzed the information of three channel image of plant canopy image, by reflectivity dynamic calibration plate the grayvalue transition of these three channel image information is become reflectance value, separate Soil Background, remove earth, disturbing factors such as dead leaf, extraction is by the disease information of measuring plants, and diagnosis is by the measuring plants position that occurs of introduced disease and illness whether.Because the blade face reflectivity is also different thereupon under the different illumination conditions.Therefore designed reflectivity dynamic calibration plate, the blade face view data has been converted to the blade face reflectivity data, data have been demarcated.The disease recognition time of every pictures is about 5 seconds.
As seen/the near infrared multispectral imaging instrument adopts the MS3100 DuncanCamera of U.S. Redlake company; Image collection card adopts the PCI1424 or 1428 data collecting cards of American National Instrument Instrument company.
Visible/near infrared multispectral imaging instrument of the utility model device can by be provided with as adjustable-angle, highly, the tripod of movable base, hitch that the roof can move along planned course or the stationary installations such as vehicle that adjustable mechanical extending arm height, angle are installed are fixed, and are respectively applied for indoor and outdoor application.Simultaneously the used light source of image acquisition of visible/near infrared multispectral of plant and reflectivity dynamic calibration plate is a daylight, adopts artificial light source when indoor no sunlight.
Field when work, visible/near infrared multispectral imaging instrument is installed in the A-frame top in the open air, nearer as plant apart from road, measure fast for convenience, also can be installed on the mechanical arm that stretches out from vehicle.The imager camera lens guarantees vertical ground irradiation, about 1.5～2 meters on distance of camera lens plant canopy surface.
When in the greenhouse, working, with as seen/the near infrared multispectral imaging instrument is installed on the hitch that can move along planned course on the roof.Imager can be fixed on the A-frame equally, and camera lens is gathered picture information vertically downward.
As shown in Figure 2, image analysis processing software may further comprise the steps the diagnostic procedure of the tested plant canopy image that collects:
1) gray-scale value by reflectivity dynamic calibration plate each picture element in red, green, three channel images of near infrared of tested plant canopy image and corresponding reflectance value thereof are set up linear dependence relation between the two;
2), the grayvalue transition of visual plant is become reflectance value by the ganmma controller value set up and the linear relationship of reflectance value;
3) by the picture information of near infrared passage, Soil Background in the image is separated with plant;
4) reject earth, dead leaf etc. and the similar disturbing factor of scab color size on the plant;
5) determine the position at illness place and judge the disease order of severity according to the size of scab, shape, shade etc.;
6) whether analysis decision sprays medicine to taking plant, and definite dosage, shower nozzle shape and spray pharmacopoeia class.
Claims (1)
1. plant leaf blade and crown botrytis evil early diagnosis device, it is characterized in that comprising visible/near infrared multispectral imaging instrument, imager stationary installation, image pick-up card, computing machine, reflectivity dynamic calibration plate and light source, visible/near infrared multispectral imaging instrument is connected with computing machine by RS-232 Serial Port Line and image acquisition data line card respectively.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200620140377 CN200996939Y (en) | 2006-11-24 | 2006-11-24 | Early diagnostic device for plant leaf and canopy botrytis |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200620140377 CN200996939Y (en) | 2006-11-24 | 2006-11-24 | Early diagnostic device for plant leaf and canopy botrytis |
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| CN200996939Y true CN200996939Y (en) | 2007-12-26 |
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| CN 200620140377 Expired - Fee Related CN200996939Y (en) | 2006-11-24 | 2006-11-24 | Early diagnostic device for plant leaf and canopy botrytis |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102972376A (en) * | 2012-11-15 | 2013-03-20 | 北京农业信息技术研究中心 | Biomass automatic identification pesticide delivery control method and device |
| CN103471523A (en) * | 2013-09-30 | 2013-12-25 | 北京林业大学 | Method for detecting profile phenotype of arabidopsis |
| CN109241837A (en) * | 2018-07-27 | 2019-01-18 | 仲恺农业工程学院 | Accurate spraying control method for plant protection unmanned aerial vehicle |
| CN109540814A (en) * | 2019-01-12 | 2019-03-29 | 合肥工业大学 | A kind of iris gray mold early detection method based on multi-optical spectrum imaging technology |
| US10690644B2 (en) * | 2016-10-18 | 2020-06-23 | Optim Corporation | Computer system, plant diagnosis method, and program |
-
2006
- 2006-11-24 CN CN 200620140377 patent/CN200996939Y/en not_active Expired - Fee Related
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102972376A (en) * | 2012-11-15 | 2013-03-20 | 北京农业信息技术研究中心 | Biomass automatic identification pesticide delivery control method and device |
| CN103471523A (en) * | 2013-09-30 | 2013-12-25 | 北京林业大学 | Method for detecting profile phenotype of arabidopsis |
| CN103471523B (en) * | 2013-09-30 | 2016-07-06 | 北京林业大学 | A kind of detection method of arabidopsis profile phenotype |
| US10690644B2 (en) * | 2016-10-18 | 2020-06-23 | Optim Corporation | Computer system, plant diagnosis method, and program |
| CN109241837A (en) * | 2018-07-27 | 2019-01-18 | 仲恺农业工程学院 | Accurate spraying control method for plant protection unmanned aerial vehicle |
| CN109241837B (en) * | 2018-07-27 | 2021-08-27 | 仲恺农业工程学院 | Accurate spraying control method for plant protection unmanned aerial vehicle |
| CN109540814A (en) * | 2019-01-12 | 2019-03-29 | 合肥工业大学 | A kind of iris gray mold early detection method based on multi-optical spectrum imaging technology |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
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Granted publication date: 20071226 Termination date: 20121124 |