CN106872044A - Method based on infrared image monitoring and warning crops early disease and infected zone - Google Patents
Method based on infrared image monitoring and warning crops early disease and infected zone Download PDFInfo
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- CN106872044A CN106872044A CN201710066039.7A CN201710066039A CN106872044A CN 106872044 A CN106872044 A CN 106872044A CN 201710066039 A CN201710066039 A CN 201710066039A CN 106872044 A CN106872044 A CN 106872044A
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- crops
- infrared image
- pixel
- monitoring object
- infected zone
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- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title claims abstract description 45
- 238000012544 monitoring process Methods 0.000 title claims abstract description 34
- 201000010099 disease Diseases 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title claims abstract description 23
- 208000031968 Cadaver Diseases 0.000 claims abstract description 16
- 241000607479 Yersinia pestis Species 0.000 abstract description 6
- 238000004458 analytical method Methods 0.000 abstract description 5
- 230000006378 damage Effects 0.000 abstract description 4
- 230000001066 destructive effect Effects 0.000 abstract description 3
- 230000003862 health status Effects 0.000 abstract description 3
- 238000001514 detection method Methods 0.000 abstract description 2
- 238000011156 evaluation Methods 0.000 abstract description 2
- 238000009659 non-destructive testing Methods 0.000 abstract description 2
- 208000015181 infectious disease Diseases 0.000 description 8
- 241000208125 Nicotiana Species 0.000 description 6
- 235000002637 Nicotiana tabacum Nutrition 0.000 description 6
- 230000007547 defect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000009313 farming Methods 0.000 description 2
- 241000196324 Embryophyta Species 0.000 description 1
- 241000700605 Viruses Species 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000009418 agronomic effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 230000005923 long-lasting effect Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 230000000405 serological effect Effects 0.000 description 1
- 241000894007 species Species 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- WJCNZQLZVWNLKY-UHFFFAOYSA-N thiabendazole Chemical compound S1C=NC(C=2NC3=CC=CC=C3N=2)=C1 WJCNZQLZVWNLKY-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Radiation Pyrometers (AREA)
- Catching Or Destruction (AREA)
Abstract
The invention discloses a kind of method based on infrared image monitoring and warning crops early disease and infected zone, belong to crops early disease optics non-destructive monitoring method.Its method is：The all crops in whole strain crops or a certain plantation observation area are shot, the infrared image of monitoring object is obtained；According to the infrared image, the ratio of all pixels point gross area in mean temperature, the gross area of low temperature pixel and the monitoring object of monitoring object all pixels point is calculated respectively；Using the accounting as the evaluating of corps diseases infected zone.The present invention human eye early stage pest and disease damage inconspicuous can both have been carried out it is lossless, online, accurately identify, reduce detection and analysis time and cost；Can be used for crops health status Non-Destructive Testing evaluation again.
Description
Technical field
Evaluated the present invention relates to a kind of monitoring crops early disease and to disease infection area distribution situation
Method, more particularly to a kind of method based on infrared image monitoring and warning crops early disease and infected zone；Belong to farming
Thing early disease optics non-destructive monitoring method.
Background technology
Crops early stage pest and disease damage is identified accurately and in time be effectively to prevent and treat the pass that diseases and pests of agronomic crop spreads
Key.Following several method is generally used at present：One is compared by agricultural pest collection of illustrative plates, although the method comparing is directly perceived,
But it is not accurate enough.Two is to carry out comprehensive descision discriminating by agricultural pest works, and the method is accurate, but is needed to have stronger special
Industry knowledge；And species is not complete, speed is consulted slower.Three is to utilize taxa key, and this method the most accurate, speed is fast, but only
It is adapted to plant protection personnel；And wherein lack the history of life, pests occurrence rule, prediction and prevention and controls description etc..In addition, above-mentioned knowledge
The naked eyes and experience that other method all has to rely on agriculture technical staff are analyzed judgement, have that subjectivity is strong, be difficult to long lasting for
The defects such as operation.
Above-mentioned conventional monitoring methods not only time and effort consuming, easily influenceed by technical experience and subjective factor；It is not only difficult
To recognize early disease, and information delay, disease monitoring reliability is had a strong impact on.Light microscope technique, transmitted electron show
Although micromirror technologies, biometric techniques, serological technique etc. can be detected accurately, but need to expend substantial amounts of
Time and cost, and need professional to operate；Corps diseases infected zone is carried out it is dfficult to apply to field
On-line monitoring and assessment early warning.
The content of the invention
In order to overcome the above-mentioned deficiencies of the prior art, the present invention is intended to provide a kind of be based on infrared image monitoring and warning farming
Thing early disease and the method for infected zone, the method human eye crops early disease inconspicuous can be carried out it is lossless
Line is detected and can be estimated early warning to disease spreading trend.
To achieve these goals, the present invention uses following technical scheme：
1) all crops in whole strain crops or a certain planting area are shot with thermal infrared imager, obtains monitoring object
Infrared image；
2) according to infrared image, the mean temperature of all pixels point in monitoring object is calculatedIt is pixel i
The corresponding temperature in position, n is the sum of pixel；
3) according to infrared image, determine to be less than mean temperature in monitoring objectAll pixels point, in calculating monitoring object
The gross area of all low temperature pixelsS0The area of pixel, k is the sum of low temperature pixel, j be certain
Individual low temperature pixel；
According to infrared image, the gross area S=nS of all pixels point in monitoring object is calculated0；
4) the ratio P=S of the low temperature pixel gross area and all pixels point gross area is calculatedd/S；
5) judge：
If P≤30%, assert that corps diseases infected zone is I grades；
If 30% ＜ P≤50%, assert that corps diseases infected zone is II grades；
If 50% ＜ P≤70%, assert that corps diseases infected zone is III level；
If 70% ＜ P, assert that corps diseases infected zone is IV grades.
In the above-mentioned technical solutions, although the grade of corps diseases infected zone is defined as I~IV grades, but degree of injury
Grade and each grade upper limit limit value can make as needed it is appropriate increase or decrease, to meet different cultivars, difference
It is required that actual requirement.
Compared with the prior art, the present invention has sensitiveness using infrared image to the temperature in crops early disease region
Principle, according to monitoring object in infrared image (all crops in i.e. whole strain crops or a certain planting area) pixel
The temperature difference of point judges disease infection region, and the percentage for accounting for monitoring object area with the area in disease infection region is morning
The critical parameter in phase disease infection region；Therefore can be efficiently against by the subjectivity existing for eye recognition corps diseases
By force, the degree of accuracy is low, need to possess the defects such as stronger practical experience.In addition, the inventive method is due to that by thermal infrared imager and can calculate
Machine is connected, and the early disease therefore, it is possible to be difficult to human eye carries out lossless audio coding；Not only recognition accuracy is high, and
Time and the cost of detection and analysis can also be reduced.
The inventive method is mainly used in the farmland real-time detection of the crops such as tobacco.Due to without being adopted to crops
The destructive test analysis such as pluck, separate, therefore can be used to carry out disease recognition before zoo virus species Accurate Analysis, and
Can be used for crops health status Non-Destructive Testing evaluation.The inventive method is the space characteristics from disease infection describes disease pair
The influence of crop, therefore it is primarily adapted for use in the field for needing to be evaluated crop infection scope, distribution situation or spreading trend
Close.
Brief description of the drawings
Fig. 1 is with the whole strain tobacco infrared image captured by the thermal infrared imagers of testo 890；
Fig. 2 is the whole strain tobacco visible images shot with Visible Light Camera.
Specific embodiment
Below with tobacco as monitoring object, with reference to accompanying drawing and specific embodiment, the invention will be further described, its step
It is rapid as follows：
1) all crops in whole strain crops or a certain planting area are shot with thermal infrared imager, obtains monitoring object
Infrared image；
2) according to infrared image, the mean temperature of all pixels point in monitoring object is calculatedIt is pixel i
The corresponding temperature in position, n is the sum of pixel；
3) according to infrared image, determine to be less than mean temperature in monitoring objectAll pixels point, in calculating monitoring object
The gross area of all low temperature pixelsS0The area of pixel, k is the sum of low temperature pixel, j be certain
Individual low temperature pixel；
According to infrared image, the gross area S=nS of all pixels point in monitoring object is calculated0；
4) the ratio P=S of the low temperature pixel gross area and all pixels point gross area is calculatedd/S；
5) judge：
If P≤30%, assert that corps diseases infected zone is I grades；
If 30% ＜ P≤50%, assert that corps diseases infected zone is II grades；
If 50% ＜ P≤70%, assert that corps diseases infected zone is III level；
If 70% ＜ P, assert that corps diseases infected zone is IV grades.
It will be seen from figure 1 that the dark part in tobacco blade face is low temperature pixel region (i.e. disease infection region)；But from
Cannot then judge that the tobacco blade face has occurred that disease infection in Fig. 2.It can be seen that, the present invention can be to human eye morning inconspicuous
Phase disease carries out lossless time and the cost for accurately identifying, reducing Disease Analysis；Can also be used for the nothing of crops health status
Damage monitoring.
Claims (1)
1. a kind of method based on infrared image monitoring and warning crops early disease and infected zone, it is characterised in that step is such as
Under：
1) all crops in whole strain crops or a certain planting area are shot with thermal infrared imager, obtains the red of monitoring object
Outer image；
2) according to infrared image, the mean temperature of all pixels point in monitoring object is calculatedtiIt is that pixel i institutes are in place
Corresponding temperature is put, n is the sum of pixel；
3) according to infrared image, determine to be less than mean temperature in monitoring objectAll pixels point, calculate in monitoring object and own
The gross area of low temperature pixelS0It is the area of pixel, k is the sum of low temperature pixel, j is that certain is low
Warm pixel；
According to infrared image, the gross area S=nS of all pixels point in monitoring object is calculated0；
4) the ratio P=S of the low temperature pixel gross area and all pixels point gross area is calculatedd/S；
5) judge：
If P≤30%, assert that corps diseases infected zone is I grades；
If 30% ＜ P≤50%, assert that corps diseases infected zone is II grades；
If 50% ＜ P≤70%, assert that corps diseases infected zone is III level；
If 70% ＜ P, assert that corps diseases infected zone is IV grades.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710066039.7A CN106872044A (en) | 2017-02-07 | 2017-02-07 | Method based on infrared image monitoring and warning crops early disease and infected zone |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710066039.7A CN106872044A (en) | 2017-02-07 | 2017-02-07 | Method based on infrared image monitoring and warning crops early disease and infected zone |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106872044A true CN106872044A (en) | 2017-06-20 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710066039.7A Pending CN106872044A (en) | 2017-02-07 | 2017-02-07 | Method based on infrared image monitoring and warning crops early disease and infected zone |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113055646A (en) * | 2021-03-11 | 2021-06-29 | 海南青峰生物科技有限公司 | Automatic intelligent insect pest situation forecasting device |
| CN117392466A (en) * | 2023-12-08 | 2024-01-12 | 汉中益丰华茂农业科技发展有限公司 | Early-stage early warning method and system for edible fungus diseases based on image recognition |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101539531A (en) * | 2009-04-09 | 2009-09-23 | 浙江大学 | Rice leaf blast detection and classification method based on multi-spectral image processing |
| CN103336010A (en) * | 2013-07-10 | 2013-10-02 | 江苏大学 | Early tobacco virus disease detection method based on infrared thermal imaging technology |
| CN103344647A (en) * | 2013-07-05 | 2013-10-09 | 江苏大学 | Potato defect detecting method |
-
2017
- 2017-02-07 CN CN201710066039.7A patent/CN106872044A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101539531A (en) * | 2009-04-09 | 2009-09-23 | 浙江大学 | Rice leaf blast detection and classification method based on multi-spectral image processing |
| CN103344647A (en) * | 2013-07-05 | 2013-10-09 | 江苏大学 | Potato defect detecting method |
| CN103336010A (en) * | 2013-07-10 | 2013-10-02 | 江苏大学 | Early tobacco virus disease detection method based on infrared thermal imaging technology |
Non-Patent Citations (2)
| Title |
|---|
| 徐小龙: "基于红外热成像技术的植物病害早期检测的研究", 《中国优秀硕士学位论文全文数据库》 * |
| 陈斌等: "红外热成像技术在植物病害检测中的应用研究进展", 《江苏农业科学》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113055646A (en) * | 2021-03-11 | 2021-06-29 | 海南青峰生物科技有限公司 | Automatic intelligent insect pest situation forecasting device |
| CN117392466A (en) * | 2023-12-08 | 2024-01-12 | 汉中益丰华茂农业科技发展有限公司 | Early-stage early warning method and system for edible fungus diseases based on image recognition |
| CN117392466B (en) * | 2023-12-08 | 2024-03-08 | 汉中益丰华茂农业科技发展有限公司 | Early-stage early warning method and system for edible fungus diseases based on image recognition |
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Application publication date: 20170620 |