CN109211908A - A kind of device and method of portable quick obtaining crop phenotype data - Google Patents
A kind of device and method of portable quick obtaining crop phenotype data Download PDFInfo
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- CN109211908A CN109211908A CN201811319148.6A CN201811319148A CN109211908A CN 109211908 A CN109211908 A CN 109211908A CN 201811319148 A CN201811319148 A CN 201811319148A CN 109211908 A CN109211908 A CN 109211908A
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- 238000000034 method Methods 0.000 title claims abstract description 16
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 18
- 229930002875 chlorophyll Natural products 0.000 claims description 10
- 235000019804 chlorophyll Nutrition 0.000 claims description 10
- ATNHDLDRLWWWCB-AENOIHSZSA-M chlorophyll a Chemical compound C1([C@@H](C(=O)OC)C(=O)C2=C3C)=C2N2C3=CC(C(CC)=C3C)=[N+]4C3=CC3=C(C=C)C(C)=C5N3[Mg-2]42[N+]2=C1[C@@H](CCC(=O)OC\C=C(/C)CCC[C@H](C)CCC[C@H](C)CCCC(C)C)[C@H](C)C2=C5 ATNHDLDRLWWWCB-AENOIHSZSA-M 0.000 claims description 10
- 238000009825 accumulation Methods 0.000 claims description 9
- 229910052757 nitrogen Inorganic materials 0.000 claims description 9
- 238000009434 installation Methods 0.000 claims description 4
- 230000005611 electricity Effects 0.000 claims description 2
- 239000000126 substance Substances 0.000 claims 1
- 238000004458 analytical method Methods 0.000 abstract description 8
- 238000012805 post-processing Methods 0.000 abstract description 3
- 241000219739 Lens Species 0.000 description 5
- 241000196324 Embryophyta Species 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012806 monitoring device Methods 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 241000209140 Triticum Species 0.000 description 1
- 235000021307 Triticum Nutrition 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000035784 germination Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000029553 photosynthesis Effects 0.000 description 1
- 238000010672 photosynthesis Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/45—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from two or more image sensors being of different type or operating in different modes, e.g. with a CMOS sensor for moving images in combination with a charge-coupled device [CCD] for still images
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N2021/8466—Investigation of vegetal material, e.g. leaves, plants, fruits
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- Life Sciences & Earth Sciences (AREA)
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Abstract
The invention discloses a kind of device and method of portable quick obtaining crop phenotype data, are related to crop phenotype analysis technical field.The equipment includes: controller, supercomputer platform, image capture interface card and camera group, image of the crop under different-waveband is obtained by camera group, and the image is sent to supercomputer platform, image is handled on supercomputer platform, obtain various crop phenotypic data, it can be seen that, pass through image recognition, multispectral image acquisition process, realize the real-time quick acquisition to field-crop phenotypic data, it is convenient and efficient, multiple links in the prior art are shortened, solve post-processing data bring hysteresis quality in the prior art;In addition, instrument size is moderate, it is convenient for carrying, data acquisition is accurate.
Description
Technical field
The present invention relates to crop phenotype analysis technical field more particularly to a kind of portable quick obtaining crop phenotype data
Device and method.
Background technique
Crop phenotype analysis is the real-time acquisition analysis to parameters such as crop growing state, forms, is instructed wheat cultivation management
Have great importance with screening varieties, therefore quickly monitoring and analysis crop phenotype are characterized in the important interior of crop investigations
Hold.And crop phenotype monitoring device is the important tool of crop phenotype monitoring and analysis, currently analyzes and researches and leads in crop phenotype
Domain, most of crop phenotype monitoring device is produced by offshore company, and haves the shortcomings that equipment is huge, and practical application is in farmland
When carrying out crop phenotype monitoring, practicability is poor.
Summary of the invention
The purpose of the present invention is to provide a kind of device and method of portable quick obtaining crop phenotype data, to solve
Foregoing problems certainly existing in the prior art.
To achieve the goals above, The technical solution adopted by the invention is as follows:
A kind of equipment of portable quick obtaining crop phenotype data, comprising: controller, supercomputer platform, Image Acquisition connect
Mouth card and camera group, described image acquisition interface card and the supercomputer platform are connect with the controller data, described super
Calculate platform and the excessively high quick access plug-in unit stacking of described image acquisition interface cartoon connect, the camera group by data line with it is described
The connection of image capture interface card, the supercomputer platform are located at the top of described image acquisition interface card, and the camera group is located at
The lower section of described image acquisition excuse card, the camera group includes a RGB regular camera and three Different Crop growing ways
The single band camera of sensitive band.
Preferably, the RGB regular camera is ultra high-definition camera.
Preferably, three single band cameras are respectively 560nm, 680nm, 810nm single band camera.
Preferably, the bandwidth of three single band cameras is 40nm, and pixel is 13,000,000.
It preferably, further include battery, the battery is connect with the controller.
It preferably, further include installation shell, the controller, supercomputer platform, image capture interface card are installed in described
In shell, four cameras in the camera group are uniformly distributed installation on the housing, and four cameras
Camera end is exposed in the outside of the shell.
Preferably, the camera lens of four cameras may be reversed.
A kind of method of portable quick obtaining crop phenotype data, utilizes above-mentioned portable quick obtaining crop phenotype
The equipment of data, includes the following steps:
The equipment of portable quick obtaining crop phenotype data is arranged near crop by S1, while by camera group
Alignment lens plant region of interest, gets the image of plant region of interest;
S2 obtains image grayscale G taken by 560nm single band camera560, captured by 680nm single band camera
The image grayscale G arrived680And image grayscale G taken by 810nm single band camera810;
S3 calculates the ratio gray scale index under different-waveband according to following formula:
GRVI1=G810/G560,
GRVI2=G810/G680,
The Normalized Grey Level index under different-waveband is calculated according to following formula:
GNDVI1=(G810-G560)/(G810+G560),
GNDVI2=(G810-G680)/(G810+G680),
Wherein, GRVI1 is the ratio gray scale index under 810nm and 560nm wave band, and GRVI2 is 810nm and 680nm wave band
Under ratio gray scale index, GNDVI1 be 810nm and 560nm wave band under Normalized Grey Level index, GNDVI2 be 810nm and
Normalized Grey Level index under 680nm wave band;
S4 calculates the phenotypic data of the crop under different-waveband according to following formula:
LAI1=-0.909+3.308*GRVI1-0.333*GRVI12,
LAI2=-0.909+3.308*GRVI2-0.333*GRVI22,
W1=0.284+0.086/GRVI1,
W2=0.284+0.086/GRVI2,
SPAD1=1/ (0.211 × 0.12*GNDVI1),
SPAD2=1/ (0.211 × 0.12*GNDVI2),
CN1=38.376-333.21/GNDVI1,
CN2=38.376-333.21/GNDVI2,
Wherein, LAI1 is the leaf area index under 810nm and 560nm wave band;LAI2 is under 810nm and 680nm wave band
Leaf area index;W1 is the dry-matter accumulation amount under 810nm and 560nm wave band, kg/m2;W2 is under 810nm and 680nm wave band
Dry-matter accumulation amount, kg/m2;SPAD1 is the chlorophyll content under 810nm and 560nm wave band, g/kg;SPAD2 is 810nm
With the chlorophyll content under 680nm wave band, g/kg;CN1 is the canopy leaves nitrogen content under 810nm and 560nm wave band, g/kg;
CN2 is the canopy leaves nitrogen content under 810nm and 680nm wave band, g/kg.
The beneficial effects of the present invention are: the equipment of portable quick obtaining crop phenotype data provided in an embodiment of the present invention
And method, the equipment include: controller, supercomputer platform, image capture interface card and camera group, are obtained and are made by camera group
Image of the object under different-waveband, and the image is sent to supercomputer platform, image is handled on supercomputer platform, is obtained
Various crop phenotypic data, it is seen then that by image recognition, multispectral image acquisition process, realize to field-crop Phenotype Number
According to real-time quick acquisition, it is convenient and efficient, shorten multiple links in the prior art, solve post-processing in the prior art
Data bring hysteresis quality;In addition, instrument size is moderate, it is convenient for carrying, data acquisition is accurate.
Detailed description of the invention
Fig. 1 is the device structure schematic diagram of portable quick obtaining crop phenotype data provided by the invention.
In figure, the meaning of each symbol is as follows:
1 controller, 2 supercomputer platforms, 3 image capture interface cards, 4 camera groups, 5 data lines, 6 batteries, 7 shells.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing, to the present invention into
Row is further described.It should be appreciated that the specific embodiments described herein are only used to explain the present invention, it is not used to
Limit the present invention.
Embodiment one
As shown in Figure 1, the embodiment of the invention provides a kind of equipment of portable quick obtaining crop phenotype data, packet
It includes: controller 1, supercomputer platform 2, image capture interface card 3 and camera group 4, described image acquisition interface card 3 and the supercomputer
For platform 2 with 1 data connection of controller, the supercomputer platform 2 and described image acquisition interface card 3 pass through high speed connector
Stacking connection, the camera group 4 are connect by data line 5 with described image acquisition interface card 3, and the supercomputer platform 2 is located at
The top of described image acquisition interface card 3, the camera group 4 are located at the lower section of described image acquisition excuse card 3, the camera shooting
Head group 4 includes the single band camera of a RGB regular camera and three Different Crop growing way sensitive bands.
The equipment working principle of above structure are as follows:
Camera group obtains image of the crop under different-waveband, and the image is sent to supercomputer platform, flat in supercomputer
Image is handled on platform, obtains various crop phenotypic data.
In the present embodiment, the RGB regular camera can be ultra high-definition camera.
It, in contrast with other three cameras, can be more intuitive when carrying out image procossing for the later period in the present embodiment
Displaying farmland it is live and crop growth conditions are additionally provided with RGB regular camera other than being provided with single band camera,
And ultra high-definition camera is set by RGB regular camera, control effect can be made more preferable.
In the embodiment of the present invention, three single band cameras are respectively the camera shooting of 560nm, 680nm, 810nm single band
Head.
In the present embodiment, in order to enable the data such as image of the crop phenotype data analysis got are more accurate, use
560nm, 680nm, 810nm tri- single band cameras, the amount of the chlorophyll as contained in 560nm green light band and plant
It is closely related, it will affect eucaryotic cell structure, 680nm red spectral band has a significant impact photosynthesis and photoinductive cycles, and 810nm is close
Infrared band stimulates cell elongation, and influence is bloomed and germination, so, in the present embodiment, using 560nm, 680nm,
Tri- single band cameras of 810nm can detect crop in the growing way feature of tri- sensitive bands of 560nm, 680nm, 810nm,
The more accurate data for the analysis of crop phenotype data can be got.
In the embodiment of the present invention, the bandwidth of three single band cameras all can be 40nm, pixel all can be
13000000.
40nm bandwidth is selected, the interference in image acquisition procedures by its all band can be prevented, influence image data
Acquisition and later period influence the result of final crop phenotype data to the processing result of image.
The pixel selection of camera be 13,000,000, image high-definition can be obtained, convenient for the later period to image at
Reason.
The equipment of portable quick obtaining crop phenotype data provided in this embodiment can also include battery 6, the electricity
Pond 6 is connect with the controller 1.
Above structure, in use, battery are controller and other electrical equipment by connecting with controller
It is powered.And powered using battery, convenient for the equipment of portable quick obtaining crop phenotype data is used for field field
It uses.
The equipment of portable quick obtaining crop phenotype data provided in this embodiment can also include installation shell 7, institute
It states controller 1, supercomputer platform 2, image capture interface card 3 to be installed in the shell 7, four in the camera group 4
Camera, which is uniformly distributed, to be mounted on the shell 7, and the camera end of four cameras is exposed in the outer of the shell 7
Face.
The shell of above structure can play the role of protecting internal component, avoid internal component by extraneous factor
Influence is destroyed.
In the present embodiment, the camera lens of four cameras be may be reversed.
In use, accessed image can directly be observed by overturning the camera lens of camera.
Embodiment two
The present invention provides a kind of methods of portable quick obtaining crop phenotype data, using embodiment described in
The equipment of prompt formula quick obtaining crop phenotype data, includes the following steps:
The equipment of portable quick obtaining crop phenotype data is arranged near crop by S1, (such as crop top, crop
Side), while by the alignment lens plant region of interest of camera group, (such as fruit ear, blade, stalk) gets plant phase
Close the image at position;
S2 obtains image grayscale G560,680nm single band camera taken by 560nm single band camera and is clapped
The image grayscale G taken the photograph680And image grayscale G taken by 810nm single band camera810;
S3 calculates the ratio gray scale index under different-waveband according to following formula:
GRVI1=G810/G560,
GRVI2=G810/G680,
The Normalized Grey Level index under different-waveband is calculated according to following formula:
GNDVI1=(G810-G560)/(G810+G560),
GNDVI2=(G810-G680)/(G810+G680),
Wherein, GRVI1 is the ratio gray scale index under 810nm and 560nm wave band, and GRVI2 is 810nm and 680nm wave band
Under ratio gray scale index, GNDVI1 be 810nm and 560nm wave band under Normalized Grey Level index, GNDVI2 be 810nm and
Normalized Grey Level index under 680nm wave band;
S4 calculates the phenotypic data of the crop under different-waveband according to following formula:
LAI1=-0.909+3.308*GRVI1-0.333*GRVI12,
LAI2=-0.909+3.308*GRVI2-0.333*GRVI22,
W1=0.284+0.086/GRVI1,
W2=0.284+0.086/GRVI2,
SPAD1=1/ (0.211 × 0.12*GNDVI1),
SPAD2=1/ (0.211 × 0.12*GNDVI2),
CN1=38.376-333.21/GNDVI1,
CN2=38.376-333.21/GNDVI2,
Wherein, LAI1 is the leaf area index under 810nm and 560nm wave band, indicates near infrared light and green light to leaf area
The influence of index;LAI2 is the leaf area index under 810nm and 680nm wave band, indicates that near infrared light and feux rouges refer to leaf area
Several influences;W1 is the dry-matter accumulation amount under 810nm and 560nm wave band, kg/m2, indicate near infrared light and green light to dry
The influence of matter accumulation;W2 is the dry-matter accumulation amount under 810nm and 680nm wave band, kg/m2, indicate near infrared light and green light pair
The influence of dry-matter accumulation;SPAD1 is the chlorophyll content under 810nm and 560nm wave band, and g/kg indicates near infrared light and green
Influence of the light to chlorophyll;SPAD2 is the chlorophyll content under 810nm and 680nm wave band, and g/kg indicates near infrared light and green
Influence of the light to chlorophyll;CN1 be 810nm and 560nm wave band under canopy leaves nitrogen content, g/kg, indicate near infrared light and
Influence of the green light to canopy leaves nitrogen content;CN2 is the canopy leaves nitrogen content under 810nm and 680nm wave band, and g/kg is indicated
The influence of near infrared light and green light to canopy leaves nitrogen content.
Using the above method, available above-mentioned a variety of phenotypic data (leaf area index, dry-matter accumulation to crop
Amount, chlorophyll content, canopy leaves nitrogen content), the analysis of crop growing state is carried out according to these phenotypic datas.
By using above-mentioned technical proposal disclosed by the invention, obtained following beneficial effect: the embodiment of the present invention is mentioned
The device and method of the portable quick obtaining crop phenotype data of confession, the equipment include: that controller, supercomputer platform, image are adopted
Collect interface card and camera group, image of the crop under different-waveband is obtained by camera group, and the image is sent to super
Platform is calculated, image is handled on supercomputer platform, obtains various crop phenotypic data, it is seen then that passes through image recognition, mostly light
Image acquisition procedures are composed, the real-time quick acquisition to field-crop phenotypic data is realized, it is convenient and efficient, shorten the prior art
In multiple links, solve post-processing data bring hysteresis quality in the prior art;In addition, instrument size is moderate, it is convenient
It carries, data acquisition is accurate.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
Depending on protection scope of the present invention.
Claims (8)
1. a kind of equipment of portable quick obtaining crop phenotype data characterized by comprising controller, supercomputer platform, figure
As acquisition interface card and camera group, described image acquisition interface card and the supercomputer platform connect with the controller data
It connects, the supercomputer platform and the excessively high quick access plug-in unit stacking of described image acquisition interface cartoon connect, and the camera group passes through number
It is connect according to line with described image acquisition interface card, the supercomputer platform is located at the top of described image acquisition interface card, described to take the photograph
As head group is located at the lower section of described image acquisition excuse card, the camera group include a RGB regular camera and three not
With the single band camera of crop growing state sensitive band.
2. the equipment of portable quick obtaining crop phenotype data according to claim 1, which is characterized in that the RGB
Regular camera is ultra high-definition camera.
3. the equipment of portable quick obtaining crop phenotype data according to claim 2, which is characterized in that described in three
Single band camera is respectively 560nm, 680nm, 810nm single band camera.
4. the equipment of portable quick obtaining crop phenotype data according to claim 3, which is characterized in that described in three
The bandwidth of single band camera is 40nm, and pixel is 13,000,000.
5. the equipment of portable quick obtaining crop phenotype data according to claim 4, which is characterized in that further include electricity
Pond, the battery are connect with the controller.
6. the equipment of portable quick obtaining crop phenotype data according to claim 5, which is characterized in that further include peace
Casing, the controller, supercomputer platform, image capture interface card are installed in the shell, in the camera group
Four cameras are uniformly distributed installation on the housing, and the camera end of four cameras is exposed in the outer of the shell
Face.
7. the equipment of portable quick obtaining crop phenotype data according to claim 6, which is characterized in that described four
The camera lens of camera may be reversed.
8. a kind of method of portable quick obtaining crop phenotype data, which is characterized in that using described in claim 1-7 just
The equipment of prompt formula quick obtaining crop phenotype data, includes the following steps:
The equipment of portable quick obtaining crop phenotype data is arranged near crop by S1, while by the camera lens of camera group
It is directed at plant region of interest, gets the image of plant region of interest;
S2 obtains image grayscale G taken by 560nm single band camera560, taken by 680nm single band camera
Image grayscale G680And image grayscale G taken by 810nm single band camera810;
S3 calculates the ratio gray scale index under different-waveband according to following formula:
GRVI1=G810/G560,
GRVI2=G810/G680,
The Normalized Grey Level index under different-waveband is calculated according to following formula:
GNDVI1=(G810-G560)/(G810+G560),
GNDVI2=(G810-G680)/(G810+G680),
Wherein, GRVI1 is the ratio gray scale index under 810nm and 560nm wave band, and GRVI2 is under 810nm and 680nm wave band
Ratio gray scale index, GNDVI1 are the Normalized Grey Level index under 810nm and 560nm wave band, and GNDVI2 is 810nm and 680nm
Normalized Grey Level index under wave band;
S4 calculates the phenotypic data of the crop under different-waveband according to following formula:
LAI1=-0.909+3.308*GRVI1-0.333*GRVI12,
LAI2=-0.909+3.308*GRVI2-0.333*GRVI22,
W1=0.284+0.086/GRVI1,
W2=0.284+0.086/GRVI2,
SPAD1=1/ (0.211 × 0.12*GNDVI1),
SPAD2=1/ (0.211 × 0.12*GNDVI2),
CN1=38.376-333.21/GNDVI1,
CN2=38.376-333.21/GNDVI2,
Wherein, LAI1 is the leaf area index under 810nm and 560nm wave band;LAI2 is the blade face under 810nm and 680nm wave band
Product index;W1 is the dry-matter accumulation amount under 810nm and 560nm wave band, kg/m2;W2 is dry under 810nm and 680nm wave band
Substance accumulation, kg/m2;SPAD1 is the chlorophyll content under 810nm and 560nm wave band, g/kg;SPAD2 be 810nm and
Chlorophyll content under 680nm wave band, g/kg;CN1 is the canopy leaves nitrogen content under 810nm and 560nm wave band, g/kg;CN2
For the canopy leaves nitrogen content under 810nm and 680nm wave band, g/kg.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811319148.6A CN109211908A (en) | 2018-11-07 | 2018-11-07 | A kind of device and method of portable quick obtaining crop phenotype data |
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| CN201811319148.6A CN109211908A (en) | 2018-11-07 | 2018-11-07 | A kind of device and method of portable quick obtaining crop phenotype data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112014330A (en) * | 2020-07-30 | 2020-12-01 | 北京农业智能装备技术研究中心 | Crop near-earth spectrum data acquisition method and device |
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| US20100293665A1 (en) * | 2007-12-21 | 2010-11-18 | Basf Plant Science Gmbh | Plants With Increased Yield (KO NUE) |
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| CN107505271A (en) * | 2017-07-13 | 2017-12-22 | 北京农业信息技术研究中心 | Plant nitrogen evaluation method and system based on nitrogen fractions radiative transfer model |
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2018
- 2018-11-07 CN CN201811319148.6A patent/CN109211908A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2007171033A (en) * | 2005-12-22 | 2007-07-05 | Univ Nagoya | Indirect measurement method and indirect measurement system for leaf area index |
| US20100293665A1 (en) * | 2007-12-21 | 2010-11-18 | Basf Plant Science Gmbh | Plants With Increased Yield (KO NUE) |
| CN105675549A (en) * | 2016-01-11 | 2016-06-15 | 武汉大学 | Portable crop parameter measurement and growth vigor intelligent analysis device and method |
| CN107505271A (en) * | 2017-07-13 | 2017-12-22 | 北京农业信息技术研究中心 | Plant nitrogen evaluation method and system based on nitrogen fractions radiative transfer model |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112014330A (en) * | 2020-07-30 | 2020-12-01 | 北京农业智能装备技术研究中心 | Crop near-earth spectrum data acquisition method and device |
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