CN104732564B - A kind of Estimating Leaf Area In Maize dynamic nondestructive monitoring device and method - Google Patents
A kind of Estimating Leaf Area In Maize dynamic nondestructive monitoring device and method Download PDFInfo
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Abstract
The invention discloses a kind of Estimating Leaf Area In Maize dynamic nondestructives to monitor system and method, the present invention takes the method that multidimensional positions Image Acquisition and image analysis is combined, equipment is light, operation is simple, can in field quick, aspect lossless acquisition Estimating Leaf Area In Maize multidimensional image；By later image integrated treatment, the parameters such as the blade dimensional posture that can export 3 plants of corns, plant height, greenery area, withered and yellow leaf area are handled each time；It is able to record corresponding position information, can ensure multiple measurement object as same sample, and have multiple correction and Quality Control Function, can realize the long-term dynamics monitoring of Estimating Leaf Area In Maize；Image capture module and image processing module realize separation, and pass through wireless transmission information, are operated on the spot convenient for field；Dynamic, comprehensive information are provided for corn Growing state survey and management.
Description
Technical field
The present invention relates to reading intelligent agriculture technical field, more particularly to a kind of Estimating Leaf Area In Maize dynamic nondestructive monitoring device with
Method.
Background technology
Leaf area is to weigh the important indicator of crop growth situation and production capacity.Corn is important grain work
Object, the measurement to Estimating Leaf Area In Maize are always one of important process content of agricultural research staff.It is long that each blade is measured respectively
Degree and width, then the traditional measurement method estimated with empirical equation, time-consuming and laborious, accuracy is low, and easily to the leaf of corn
Piece damages, and then influences photosynthetic capacity.Part leaf area instrument calculates leaf area, one using leaf image is scanned piecewise
Determine to improve acquisition precision in degree, but up to 30 or so, the blade of corn, blade height reaches as high as 3 meters, and blade
Base portion is the circle around stalk, and base portion and middle part are shallow " V " type, it is not easy to be scanned operation, and be easily damaged blade.
In the patent measured in leaf area, it is mainly the following, patent CN201410201645 discloses one kind and passes through
The method of model remote sensing monitoring wheat leaf area index that experimental data is combined with remotely-sensed data, can realize large area wheat leaf
The estimation of area index, but indoor test is needed to be combined, accuracy is relatively low.Patent CN201410229812.3 discloses one kind
Leaf area index measuring method and system, realize the accuracy of measurement, but need to sample by destructive, by blade from plant
It picks and is scanned in strain, comparativity is poor between the data of acquisition, and is difficult to realize the dynamic monitoring of leaf area.Patent
CN201010231726.8 discloses a kind of method of hemisphere photographing rice LAI, but is difficult to efficient application and exists
The tall and big Estimating Leaf Area In Maize of plant measures, and this method converts the image into binary grayscale image, it is impossible to identify corn
Withered and yellow blade area is difficult to apply in the fertility middle and later periods.Patent CN201320029088.0 discloses a kind of measurement crop blade face
Long-pending system is acquired the image of each blade using quadrangle support assorted blank, the area of each blade is obtained by processing, by
Big (per acre 5000 plants or so) in plant high (usually at 2 meters or so), density, this method is fitted when acquiring Estimating Leaf Area In Maize
Answering property is poor, and when operation is easily blocked and causes physical damnification to plant.
Invention content
(1) technical problems to be solved
The technical problem to be solved by the present invention is to：A kind of Estimating Leaf Area In Maize dynamic nondestructive monitoring device and method are provided, it is real
Dynamic monitoring now is carried out to maize leaf field growing, while maize leaf is not damaged, improves the convenient of leaf area monitoring
Property and monitoring accuracy.
(2) technical solution
In order to solve the above technical problem, the present invention provides a kind of Estimating Leaf Area In Maize dynamic nondestructives to monitor system, including
Image capture module, information transmission modular and image processing module；Above-mentioned image capture module is planted for acquiring corn to be monitored
The multidimensional image in 8 sites of strain, acquired image is sent to image processing module by information transmission modular, by image processing module
It calculates and obtains Estimating Leaf Area In Maize to be monitored；
Described image acquisition module includes location information collecting unit, location information determination unit, image acquisition units, figure
As quality control unit and image storage unit；The location information determination unit is used to determine the position of Image Acquisition point, position
Put the location information of information acquisition unit acquisition image capture module and the location information of Image Acquisition point, image acquisition units root
The maize leaf Image Acquisition in 8 sites is carried out according to identified Image Acquisition point, picture quality control unit is to acquiring figure
The position of picture and quality carry out inspection confirmation, and image storage unit stores satisfactory image；
Described image processing module includes color recognition unit, shape recognition unit, angle correction unit, range measurement list
Member and area computing unit；The color of acquired maize leaf is identified in color recognition unit, determines fresh and alive maize leaves
Panel region, vein region, withered and yellow maize leaf region, sundries region；Shape recognition unit is marked according to color recognition result
The vein of maize leaf and sideline, and to wherein carrying out extension benefit according to front and rear section is blocked by the part that other blades block
Together；According to vein state recognition blade 3 d pose, length, width and the deviation horizontal direction angle of each maize leaves of segmentation markers
Degree；For angle correction unit according to the image in multiple sites, it is vertical direction that by maize leaf, uniformly correction, which is front,；Range measurement
The information such as the height of unit according to the angle of image information collecting point, with the distance of plant, from the ground calculate picture size
With the scaling of actual size, width, length, the three-dimensional digital information of height and the plant height information of blade are measured；Area
Computing unit is calculated per the area of a piece of greenery and dead leaf area, and it is the greenery area of single plant corn and dead leaf face to sum it up
Product.
Wherein, the location information collecting unit includes gps position indicators, gyroscope and accelerometer, and gps position indicators are used for
The longitude and latitude and altitude information of Image Acquisition point are acquired, gyroscope is used to acquire movement angle and the track of image capture module,
Accelerometer is used to acquire the speed and distance of image capture module movement.
Wherein, the location information determination unit includes two parts of position instruction and position alignment, position instruction part
Indicate that 8 Image Acquisition sites carry out Image Acquisition, and are displayed on the screen according to the requirement of Image Acquisition；Position alignment part
Image Acquisition frame is aligned with position instruction frame according to position instruction guiding photographing person.
Wherein, described information transmission module includes wireless transmission unit, radio receiving unit and completeness check unit, nothing
The information of acquisition is converted into radio signal, and send by wireless frequency modulation mode by line transmitting element；Radio receiving unit leads to
It crosses wireless frequency modulation mode and receives information, and the radio signal of reception is converted into digital information；Completeness check unit passes through
The information characteristics sent and received are compared, it is ensured that transmit errorless and information completely.
The present invention also provides a kind of Estimating Leaf Area In Maize dynamic nondestructive monitoring methods, include the following steps：
Step 1：Acquire multi-angle, the various dimensions image of 8 different locis of maize leaf to be monitored：
Determine the geographical location information in 8 different locis and each site；Corresponding each site, acquires piece image, institute
Acquire the corresponding location information of image and the quality parameter information of image and the geographical location information and image in identified site
Quality requirement information is consistent, then stores image；
Step 2：Acquired image information is sent to image processing module, calculates Estimating Leaf Area In Maize：
The color of acquired maize leaf is identified first, determines fresh and alive maize leaf region, vein region, withered
Yellow maize leaf area, sundries region；According to color recognition result, vein and the sideline of maize leaf are marked, and to wherein
Extension polishing is carried out according to front and rear section is blocked by the part that other blades block；According to vein state recognition blade three-dimensional appearance
State, length, width and the deviation horizontal direction angle of each maize leaves of segmentation markers；According to the image in 8 sites, by maize leaves
It is vertical direction that the unified correction of piece, which is front,；According to the angle of image information collecting point, with the distance of plant, from the ground
The information such as height calculate the scaling of picture size and actual size, measure the width of blade, length, height 3-dimensional digital
Information is calculated per the area of a piece of greenery and dead leaf area, and it is the greenery area of single plant corn and dead leaf area to sum it up.
Wherein, in the step 2, the process that the color of acquired maize leaf is identified is：According to color spy
Sign, identification green is fresh and alive maize leaf, canescence is vein, and yellow is withered and yellow maize leaf, and other is sundries；To maize leaves
Panel region is identified and marks, and marks fresh and alive maize leaf region, vein region, withered and yellow maize leaf region, sundries area
Domain；The identity element in different images is marked and identified simultaneously, avoids repeating；According to corncob it is conical the characteristics of,
Distinguish maize leaves and corncob.
Wherein, in the step 2, the length of each maize leaves of segmentation markers, width and when deviateing horizontal direction angle,
The identical region of blade posture is same section, and the different region of posture marks respectively.
Wherein, it is that the process that front is vertical direction is by the unified correction of maize leaf in the step 2：Correction is divided into
Wherein longitudinal correction width of blade is constant, length of blade is adjusted according to angle for the correction of blade longitudinal direction and laterally two steps of correction,
Calculation formula is the length of blade that y ˊ=y/sin α, y ˊ are after correction, and y surveys length of blade for figure, and α is blade offset level direction
Angle；Laterally correction length of blade is constant, adjusts width of blade according to angle, calculation formula is strong for x ˊ=x/sin α, x ˊ
Width of blade after just, x survey width of blade for figure, and α is the angle in blade offset level direction.
(3) advantageous effect
Above-mentioned technical proposal has the following advantages that：Take positioning Image Acquisition and the method that is combined of image analysis, equipment
It is light, operation is simple, can in field quick, aspect lossless acquisition Estimating Leaf Area In Maize image；By later image General Office
Reason, the parameters such as the blade posture per treatment that can export 3 plants of corns, plant height, greenery area, withered and yellow leaf area；It is able to record
Corresponding position information, it is same sample that can ensure multiple measurement object, and has multiple correction and Quality Control Function, can
Realize the long-term dynamics monitoring of Estimating Leaf Area In Maize；Image capture module and image processing module realize separation, and pass through and wirelessly pass
Defeated information, operates on the spot convenient for field；Dynamic, comprehensive information are provided for corn Growing state survey and management.
Description of the drawings
Fig. 1 is the functional block diagram of Estimating Leaf Area In Maize of embodiment of the present invention dynamic nondestructive monitoring system.
Fig. 2 is the flow chart of Estimating Leaf Area In Maize dynamic nondestructive monitoring method of the embodiment of the present invention.
Specific embodiment
With reference to the accompanying drawings and examples, the specific embodiment of the present invention is described in further detail.Implement below
Example is used to illustrate the present invention, but be not limited to the scope of the present invention.
With reference to shown in Fig. 1, the present embodiment Estimating Leaf Area In Maize dynamic nondestructive monitoring system includes image capture module, information passes
3 parts of defeated module and image processing module.
Specifically, image capture module is image processing module for acquiring satisfactory multidimensional plant image
Basic information is provided.Image capture module include location information collecting unit, location information determination unit, image acquisition units,
5 units such as picture quality control unit and image storage unit.
Location information collecting unit includes gps position indicators, gyroscope and accelerometer, and gps position indicators are used to acquire image
The location informations such as longitude and latitude, the height above sea level of collection point, gyroscope are used to acquire movement angle and the track of image capture module, accelerate
Degree counts the speed and distance for acquiring image capture module movement.
Location information determination unit includes two parts of position instruction and position alignment, and position instruction part is adopted according to image
The requirement of collection indicates that 8 Image Acquisition sites carry out Image Acquisition, and are displayed on the screen；Position alignment part refers to according to position
Image Acquisition frame is aligned by the person that shows guiding photographing with position instruction frame, ensures shooting orientation, height, the accuracy of angle.
Image acquisition units are made of cmos image sensor, camera lens etc., for being specified according to location information determination unit
Position and angle, according to specified resolution ratio, shoot the coloured image of plant, corresponding each plant obtains 8
Image, and be stored in image storage unit.
Picture quality control unit is used for information such as the acquisition position of the image collected, angle, resolution ratio, clarity
It is proofreaded with the information of location information determination unit, it is up-to-standard, Image Acquisition next time is carried out, it is off quality then former
Position resurveys information, until qualification.
Image storage unit preserves the latitude and longitude information of Image Acquisition, orientation letter simultaneously for storing the image of acquisition
Breath and image sequence information.
Information transmission modular mainly includes three wireless transmission, wireless receiving and completeness check units, in information collection
Module and image processing module both ends are laid respectively, for information acquisition module is acquired information completely, be inerrably transferred to
Image processing module.Wherein, the information of acquisition is converted into radio signal, and pass through wireless frequency modulation mode by wireless transmission unit
It sends；Radio receiving unit receives information, and the radio signal of reception is converted into digital information by wireless frequency modulation mode；
Completeness check unit is by being compared the information characteristics sent and received, it is ensured that transmits errorless and information completely.
Image processing module passes through the multivariate analysis of multidimensional plant image information that is acquired to image capture module, comprehensive
Conjunction is handled, and the results such as the leaf area of corn are calculated；Specifically include color recognition unit, shape recognition unit, angle correction
Five units such as unit, distance measuring unit, areal calculation unit.
Color recognition unit is used to identify fresh and alive maize leaf (green), vein (canescence) withered and yellow jade according to color characteristic
Rice blade (yellow) and other sundries；Maize leaf region is identified and marked, it is maize leaves to identify which pixel region
It is withered and yellow maize leaf, which pixel region is other sundries that piece, which pixel region, which are vein, which pixel region,；Simultaneously
Identity element in different images is marked and identified, avoids repeating, and feeds back information to form recognition unit.
Shape recognition unit receives the information of color recognition unit transmission, according to the flat belt-like feature of maize leaf, knows
Not and mark vein and the sideline of maize leaf, and to wherein by the part that other blades block according to block front and rear section into
Row extension polishing.According to vein state recognition blade 3 d pose, length, width and the deviation water of each maize leaves of segmentation markers
Flat orientation angle, the identical region of blade posture are same section, and the different region of posture marks respectively.According to corncob circular cone
The characteristics of shape, distinguishes maize leaves and corncob.
Angle correction unit corrects the state of maize leaf according to the information that 8 images provide, according to deviation water
Square to angle, by the unified correction of blade be front be vertical direction, convenient for sampling and measuring.Correction is divided into blade and longitudinally rectifys
Just (angle at correction blade base and top) and laterally two steps of correction (angles of correction blade both sides), wherein longitudinal direction is rectified
Positive width of blade is constant, and length of blade is adjusted according to angle, and specific formula for calculation is blade that y ˊ=y/sin α, y ˊ be after correcting
Length, y survey length of blade for figure, and α is the angle in blade offset level direction；Laterally correction length of blade is constant, according to angle
Width of blade is adjusted, specific formula for calculation is the width of blade that x ˊ=x/sin α, x ˊ are after correction, and x surveys width of blade, α for figure
Angle for blade offset level direction.
Distance measuring unit is used for the distance of the angle according to image information collecting point and plant, height from the ground
The information such as degree calculate the scaling of picture size and actual size, measure the width of blade, length, height 3-dimensional digital letter
Breath.
The information that areal calculation unit is provided according to distance measuring unit is calculated per the area of a piece of greenery and dead leaf face
Product sums it up the leaf area of as single plant corn.
Structure and principle based on above-mentioned monitoring device, the Estimating Leaf Area In Maize dynamic nondestructive monitoring method of the present embodiment include
Following steps：
Step 1：The multiple image in multiple and different sites of maize leaf to be monitored is acquired, detailed process is as follows：
It determines multiple and different sites, and the geographical location information in each site is determined, the quantity in site and specific
The image that comprehensive can collect maize leaf to be monitored is subject in position；Corresponding each site acquires piece image, and will
The quality parameter information of location information and image corresponding to image and the geographical location information in identified site and image matter
Amount require information is compared, it is ensured that acquires image qualification, is then retaken until qualification when unqualified；Then by image into
Row storage.
Step 2：Acquired image information is sent to image processing module, calculates Estimating Leaf Area In Maize, detailed process is such as
Under：
The color of acquired maize leaf is identified first, determines fresh and alive maize leaf region, vein region, withered
Yellow maize leaf area, sundries region；According to color recognition result, vein and the sideline of maize leaf are marked, and to wherein
Extension polishing is carried out according to front and rear section is blocked by the part that other blades block；According to vein state recognition blade three-dimensional appearance
State, length, width and the deviation horizontal direction angle of each maize leaves of segmentation markers；According to the image in multiple sites, by corn
It is vertical direction that the unified correction of blade, which is front,；According to the angle of image information collecting point, with the distance of plant, from the ground
The information such as height calculate the scaling of picture size and actual size, measure the width of blade, length, height three dimensions
Word information is calculated per the area of a piece of greenery and dead leaf area, and it is the greenery area of single plant corn and dead leaf area to sum it up.
Processing can acquire and monitor simultaneously the parameters such as the leaf area of 3 plants of corns each time, available for result comparison and weighted average.
More specific details is described in the structure and principle of system in above-mentioned steps, does not do further go to live in the household of one's in-laws on getting married herein
It states.Below with a specific example, with reference to Fig. 2, vivider explanation is carried out to the present invention.
In view of plant is high, density is big, but mostly using wide-narrow row planting, spacing in the rows is small and line space is big, wide row into
Row Image Acquisition has suitable space.8 sites is used (to choose 4 sides clockwise in 45° angle with corn row in Image Acquisition
To horizontal distance corn is the wide row line-spacing of corn, and vertical range is two height of 0.8m and 1.5m from the ground) horizontal bat respectively
8 images are taken the photograph, every image request includes the complete image of 3 plants of corns, and records photographing longitude and latitude, height, angle etc. simultaneously
After first image information collecting point acquires image information, school is carried out by picture quality control unit to the information of image for information
It is right.Confirmation message is complete, it is errorless after, storage to image storage unit.Next shooting point is determined by location information determination unit
Position, and indicate viewfinder alignment shooting, confirm it is errorless after start to shoot the 3rd image, until 8 image takings are completed.
After the completion of image taking, image processing module is transmitted to by information transmission modular.It is identified by color, shape is known
Not, 5 angle correction, range measurement and areal calculation steps, each entire flow can calculate the leaf area of 3 plants of corns.
When dynamic measures, it can continue by location information determination unit in the same position of formulation, site, angle acquisition image
Information, and it is automatically associated with history metrical information.
As can be seen from the above embodiments, the present invention takes positioning Image Acquisition and the method that is combined of image analysis, if
It is standby it is light, operation is simple, can in field quick, aspect lossless acquisition Estimating Leaf Area In Maize image；It is integrated by later image
Processing, being capable of the parameters such as output blade posture, leaf area, plant height, stem thick, leaf color, withered and yellow leaf area；It is able to record corresponding position
Information can ensure multiple measurement object as same sample, and have multiple correction and Quality Control Function, can realize corn
The long-term dynamics monitoring of leaf area；Image capture module and image processing module realize separation, and pass through wireless transmission information, just
It is operated on the spot in field；Dynamic, comprehensive information are provided for corn Growing state survey and management.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and replacement can also be made, these improve and replace
Also it should be regarded as protection scope of the present invention.
Claims (8)
1. a kind of Estimating Leaf Area In Maize dynamic nondestructive monitors system, which is characterized in that including image capture module, information transmission modular
And image processing module；Above-mentioned image capture module is used to acquire the multidimensional image in 8 sites of plant to be monitored, and information passes
Acquired image is sent to image processing module by defeated module, is calculated by image processing module and is obtained Estimating Leaf Area In Maize to be monitored；
Described image acquisition module includes location information collecting unit, location information determination unit, image acquisition units, image matter
Measure control unit and image storage unit；The location information determination unit is used to determine the position of Image Acquisition point, institute's rheme
It puts information determination unit and includes two parts of position instruction and position alignment, position instruction part refers to according to the requirement of Image Acquisition
Show that 8 Image Acquisition sites carry out Image Acquisition, and are displayed on the screen, position alignment part is according to position instruction guiding photographing
Image Acquisition frame is aligned by person with position instruction frame；Location information collecting unit acquires the location information and figure of image capture module
As the location information of collection point, image acquisition units carry out the maize leaf figure in 8 sites according to identified Image Acquisition point
As acquisition, image acquisition units are made of cmos image sensor, camera lens, for the position specified according to location information determination unit
It puts with angle, according to specified resolution ratio, shoots the coloured image of plant, corresponding each plant obtains 8 figures
Picture, and be stored in image storage unit；Picture quality control unit to the position of acquired image and quality check really
Recognize, image storage unit stores satisfactory image；
Described image processing module include color recognition unit, shape recognition unit, angle correction unit, distance measuring unit and
Areal calculation unit；The color of acquired maize leaf is identified in color recognition unit, determines fresh and alive maize leaves section
Domain, vein region, withered and yellow maize leaf region, sundries region；Shape recognition unit marks corn according to color recognition result
The vein of blade and sideline, and to wherein carrying out extension polishing according to front and rear section is blocked by the part that other blades block；Root
According to vein state recognition blade 3 d pose, length, width and the deviation horizontal direction angle of each maize leaves of segmentation markers；Angle
Image of the correcting unit according to multiple sites is spent, it is vertical direction that uniformly correction, which is front, by maize leaf；Distance measuring unit
Picture size and reality are calculated according to the angle of image information collecting point, the elevation information with the distance of plant, from the ground
The scaling of size measures width, length, the three-dimensional digital information of height and the plant height information of blade；Areal calculation list
Member is calculated per the area of a piece of greenery and dead leaf area, and it is the greenery area of single plant corn and dead leaf area to sum it up.
2. Estimating Leaf Area In Maize dynamic nondestructive as described in claim 1 monitors system, which is characterized in that the location information acquisition
Unit includes gps position indicators, gyroscope and accelerometer, and gps position indicators are used to acquire the longitude and latitude and height above sea level of Image Acquisition point
Information, gyroscope are used to acquire movement angle and the track of image capture module, and accelerometer is used to acquire image capture module
The speed and distance of movement.
3. Estimating Leaf Area In Maize dynamic nondestructive as described in claim 1 monitors system, which is characterized in that the location information determines
Unit includes two parts of position instruction and position alignment, and position instruction part indicates 8 images according to the requirement of Image Acquisition
Collection point carries out Image Acquisition, and is displayed on the screen；Position alignment part is according to position instruction guiding photographing person by image
Acquisition frame is aligned with position instruction frame.
4. Estimating Leaf Area In Maize dynamic nondestructive as described in claim 1 monitors system, which is characterized in that described information transmission module
Including wireless transmission unit, radio receiving unit and completeness check unit, the information of acquisition is converted by wireless transmission unit
Radio signal, and sent by wireless frequency modulation mode；Radio receiving unit receives information by wireless frequency modulation mode, and will connect
The radio signal of receipts is converted into digital information；Completeness check unit is by comparing the information characteristics sent and received
It is right, it is ensured that transmit errorless and information completely.
5. a kind of Estimating Leaf Area In Maize dynamic nondestructive monitoring method, which is characterized in that include the following steps：
Step 1：Acquire multi-angle, the various dimensions image of 8 different locis of maize leaf to be monitored：
Determine the geographical location information in 8 different locis and each site；Corresponding each site, acquires piece image, is acquired
The quality parameter information of the corresponding location information of image and image and the geographical location information and picture quality in identified site
Require information is consistent, then stores image；
Step 2：Acquired image information is sent to image processing module, calculates Estimating Leaf Area In Maize parameter：
The color of acquired maize leaf is identified first, determines fresh and alive maize leaf region, vein region, withered and yellow jade
Rice leaf area, sundries region；According to color recognition result, vein and the sideline of maize leaf are marked, and to wherein by it
The part that its blade blocks carries out extension polishing according to front and rear section is blocked；According to vein state recognition blade 3 d pose, divide
Length, width and the deviation horizontal direction angle of each maize leaves of segment mark；According to the image in 8 sites, maize leaf is united
It is vertical direction that one correction, which is front,；According to the angle of image information collecting point, distance, height from the ground with plant
Information calculates the scaling of picture size and actual size, measure the width of blade, length, height three-dimensional digital information,
It calculates per the area of a piece of greenery and dead leaf area, it is the greenery area of single plant corn and dead leaf area to sum it up.
6. Estimating Leaf Area In Maize dynamic nondestructive monitoring method as claimed in claim 5, which is characterized in that right in the step 2
The process that the color of acquired maize leaf is identified is：According to color characteristic, it is fresh and alive maize leaf that identification is green, greyish white
Color is vein, and yellow is withered and yellow maize leaf, and other is sundries；Maize leaf region is identified and marked, is marked fresh
Work maize leaf region, vein region, withered and yellow maize leaf region, sundries region；Simultaneously to the identity element in different images
It is marked and identifies, avoid repeating；According to corncob it is conical the characteristics of, distinguish maize leaves and corncob.
7. Estimating Leaf Area In Maize dynamic nondestructive monitoring method as claimed in claim 6, which is characterized in that in the step 2, point
The length of each maize leaves of segment mark, width and when deviateing horizontal direction angle, the identical region of blade posture is same section,
The different region of posture marks respectively.
8. Estimating Leaf Area In Maize dynamic nondestructive monitoring method as claimed in claim 7, which is characterized in that, will in the step 2
The unified correction of maize leaf is that the process that front is vertical direction is：Correction is divided into blade longitudinally two steps of correction and lateral correction
Suddenly, wherein longitudinal direction correction width of blade is constant, length of blade is adjusted according to angle, calculation formula is strong for y ˊ=y/sin α, y ˊ
Length of blade after just, y survey length of blade for figure, and α is the angle in blade offset level direction；Laterally correct length of blade not
Become, width of blade is adjusted according to angle, calculation formula is the width of blade that x ˊ=x/sin α, x ˊ are after correction, and x surveys blade for figure
Width, α are the angle in blade offset level direction.
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| CN108871235A (en) * | 2018-04-27 | 2018-11-23 | 江南大学 | The information acquisition method and plant leaf information acquisition system of plant leaf |
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| CN110332909B (en) * | 2019-07-09 | 2024-05-31 | 河海大学 | Portable leaf area meter |
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