CN110426491A - The layered optical measurement method and device of one planting fruit-trees vertical structure - Google Patents
The layered optical measurement method and device of one planting fruit-trees vertical structure Download PDFInfo
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Abstract
The present invention provides the layered optical measurement method and device of a planting fruit-trees vertical structure, fruit tree is calculated separately first is layered the photon hypothesis of upper different location of the linear systematic from arrangement in different level layering, for sunlight difference incident direction and in same level, the ratio between with the sub- flux density of amount of ambient light, to obtain the incident light transmission rate at any light quantum position respectively;Then incident light transmission rate and Leaf angle inclination distribution extinction coefficient are input to light distribution model, export leaf area index of the fruit tree at any light quantum position;Finally utilize spatial interpolation methods, based on leaf area index, obtain the leaf area distribution results of different level layering, result in the leaf area distribution results of fruit tree vertical structure, the present invention can be based on the leaf area distribution results of fruit tree vertical structure, light distribution and light utilization efficiency optimized evaluation are carried out to fruit tree structure, to provide the data supporting of science for pruning fruit tree or fruit shape optimization etc..
Description
Technical field
The present invention relates to planting fruit trees technical field more particularly to the layered optical measurement methods of a planting fruit-trees vertical structure
And device.
Background technique
Currently, in terms of planting fruit trees, for the fields such as the nursery stock breeding of fruit tree, cultivation management obtained it is biggish into
Step, but the production information of fruit tree, in terms of there are also very big room for promotion, and then improve the fertile medicine benefit of fruit tree
With rate, realize upgrading synergy.
In terms of the structure measurement of fruit tree, conventional method mainly uses manual measurement, realizes fruit tree tree by artificial observation
Dry, branch and leaf total amount field investigation and record, can not get the Precise structural information of fruit tree vertical demixing, Wu Faji
Light distribution and light utilization efficiency optimized evaluation are carried out in fruit tree structure, to cannot be pruning fruit tree or fruit shape optimization etc.
The data supporting of science is provided, and there is a problem of low efficiency, at high cost.
With the development of optical remote sensing technology, the detection of Vegetation canopy structure usually is carried out using optical remote sensing technology, but
Be on the one hand, the instruments of current overwhelming majority measurement Vegetation canopy structures due to being based primarily upon fish eye lens PHOTOGRAPHIC ANALYSIS method, because
This is suitable only for the case where vegetation homogeneous distribution, in addition, based on the Vegetation canopy structure observation method that light transmission calculates, due to meter
It calculates and vegetation is also required to as far as possible close to homogeneous distribution using Beer law, otherwise can generate biggish error, such as apple tree,
Being located at the leaf area index LAI difference measured between apple tree below apple tree can achieve several times;However, current big
Part fruit tree is all that ranks rule is planted, and especially for mechanical work is adapted to, the line-spacing of fruit tree can achieve 6-10 meters, this
The kind biggish planting patterns of line-spacing, it is clear that be not able to satisfy the measuring condition of homogeneous distribution, therefore limit distant currently with optics
The detection of sense technology progress Vegetation canopy structure;On the other hand, Most current measurement both for plant canopy it is whole into
Capable measurement is seldom measured for the vertical stratification of plant canopy, causes to carry out in fruit tree in different phase
After tree-like control and trimming, the light distribution and light utilization efficiency of each layer of fruit tree assessed.
Therefore, at present in terms of the structure measurement of fruit tree, fruit tree canopy can only integrally be measured by all existing, and can not
The Precise structural information of fruit tree vertical demixing is got, also light distribution can not be carried out based on fruit tree structure and light utilization efficiency optimization is commented
Estimate, thus the problem of the data supporting of science cannot being provided for pruning fruit tree or fruit shape optimization etc..
Summary of the invention
In order to solve at present in terms of the structure measurement of fruit tree, fruit tree canopy can only integrally be measured by all existing, and
The Precise structural information of fruit tree vertical demixing can not be got, light distribution and light utilization efficiency optimization can not be carried out based on fruit tree structure
Assessment, so that the present invention is real the problem of cannot providing the data supporting of science for pruning fruit tree or fruit shape optimization etc.
It applies example and the layered optical measurement method and device of one planting fruit-trees vertical structure is provided.
In a first aspect, the embodiment of the present invention provides the layered optical measurement method of a planting fruit-trees vertical structure, this method packet
Include: S1, calculate separately fruit tree in different level layering, it is for sunlight difference incident direction and upper straight in same level layering
The photon hypothesis of the different location of the equidistant arrangement of line, the ratio between with the sub- flux density of amount of ambient light, to obtain fruit respectively
Tree is layered upper different positions of the linear systematic from arrangement in different layerings, for sunlight difference incident direction and in same level
The incident light transmission rate set;Wherein, horizontal slice is by the plane of the vertical division of fruit tree being parallel to the horizontal plane;S2, will be incident
Light transmission rate and Leaf angle inclination distribution extinction coefficient are input to light distribution model, and output fruit tree is layered, in different level for the sun
Light difference incident direction and the leaf area index of upper different location of the linear systematic from arrangement is layered in same level;S3, basis
Leaf area index obtains the leaf area distribution results of different level layering using spatial interpolation methods.
Preferably, photon hypothesis by be arranged in different level layering, for sunlight difference incident direction and
Same level is layered upper multiple light quantum sensor synchronous acquisitions of the linear systematic from the different location of arrangement and obtains, amount of ambient light
Sub- flux density is by being arranged in light quantum sensor acquisition acquisition without any blockage;Wherein, the sub- flux density of amount of ambient light
With the photon hypothesis synchronous acquisition of any horizontal slice.
Preferably, light distribution model is pre- based on incident light transmission rate, Leaf angle inclination distribution extinction coefficient and leaf area index
First establish;Correspondingly, light distribution model are as follows:
τ=exp (- KLAI)
Wherein, τ is incident light transmission rate, and K is Leaf angle inclination distribution extinction coefficient, and LAI is leaf area index.
Preferably, light distribution model includes direct projection light distribution submodel and scattering light distribution submodel;Correspondingly, direct light
It is distributed submodel are as follows:
τ1=fb·exp[-K(x,θ)·[1-Gdir(1-a)]·LAI]
Wherein, τ1For direct projection light transmission rate, K is Leaf angle inclination distribution extinction coefficient, and K (x, θ) is the function of x and θ, and LAI is
Leaf area index, fbThe ratio of incident light is accounted for for direct light, θ is incident light zenith angle, and x is oval Leaf angle inclination distribution parameter, a
For absorption coefficient, GdirFor Leaf angle inclination distribution direct projection parameter;
Scattering light distribution submodel are as follows:
Wherein, τ2To scatter light transmission rate, fbThe ratio of incident light, L are accounted for for direct lightbFor black leaf model leaf area index,
A (x), B (x), C (x) are in the function of x.
Preferably, sunlight difference incident direction include parallel fruit tree row Xiang Fangxiang, vertical fruit tree row Xiang Fangxiang, it is parallel too
Positive principal plane direction and vertical sun principal plane direction.
Second aspect, the embodiment of the present invention provide the layered optical measuring device of a planting fruit-trees vertical structure, the device packet
Include: transmitance computing unit, for calculate separately fruit tree different level layering, for sunlight difference incident direction and
Same level is layered the photon hypothesis of upper different location of the linear systematic from arrangement, with the sub- flux density of amount of ambient light it
Than being layered, with obtaining fruit tree respectively different for sunlight difference incident direction and in the upper linear systematic of same level layering
Incident light transmission rate from the different location of arrangement;Wherein, horizontal slice is being parallel to the horizontal plane the vertical division of fruit tree
Plane;Leaf area index unit, it is defeated for incident light transmission rate and Leaf angle inclination distribution extinction coefficient to be input to light distribution model
Fruit tree in different level layering, sunlight difference incident direction and is layered upper linear systematic not from arrangement in same level out
With the leaf area index of position;Leaf area distribution unit, for being obtained not according to leaf area index using spatial interpolation methods
The leaf area distribution results of same level layering.
The third aspect, the embodiment of the present invention provide a kind of electronic equipment, the electronic equipment include: memory, processor and
The computer program that can be run on a memory and on a processor is stored, the instruction of processor caller is able to carry out first party
The layered optical of fruit tree vertical structure provided by any possible implementation is surveyed in the various possible implementations in face
Amount method.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with calculating
Machine program, the computer program make computer execute any possible realization in the various possible implementations of first aspect
The layered optical measurement method of fruit tree vertical structure provided by mode.
The embodiment of the present invention provides the layered optical measurement method and device of a planting fruit-trees vertical structure, calculates separately first
Fruit tree is layered upper linear systematic from arrangement in different level layering, for sunlight difference incident direction and in same level
The photon hypothesis of different location, the ratio between with the sub- flux density of amount of ambient light, thus obtain respectively fruit tree different layerings,
It is penetrated for sunlight difference incident direction and in the incident light that same level is layered upper different location of the linear systematic from arrangement
Rate;Then incident light transmission rate and Leaf angle inclination distribution extinction coefficient are input to the light distribution model pre-established, export fruit tree
Upper difference of the linear systematic from arrangement is layered in different level layering, for sunlight difference incident direction and in same level
The leaf area index of position;Spatial interpolation methods are finally utilized, leaf area index is based on, obtain the leaf area of different level layering
Distribution results result in the leaf area distribution results of fruit tree vertical structure, overcome existing method and device can only be to fruit
Crown canopy integrally measures, and the problem of the Precise structural information of fruit tree vertical demixing can not be got, the embodiment of the present invention
Light distribution and light utilization efficiency optimized evaluation can be carried out to fruit tree structure based on the leaf area distribution results of fruit tree vertical structure, from
It and is that pruning fruit tree or fruit shape optimization etc. provide the data supporting of science.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram of the layered optical measurement method of the fruit tree vertical structure of the embodiment of the present invention;
Fig. 2 is that the photon hypothesis of the embodiment of the present invention acquires schematic diagram;
Fig. 3 is the sunlight difference incident direction schematic diagram of the embodiment of the present invention;
Fig. 4 is the leaf area distribution results of any horizontal slice of the embodiment of the present invention;
Fig. 5 is the structural schematic diagram of the layered optical measuring device of the fruit tree vertical structure of the embodiment of the present invention;
Fig. 6 is the structural schematic diagram of the electronic equipment of the embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
It should be noted that a parameter of the leaf area index LAI as progress plant population and community growth analysis,
Referred to as one important botany parameter and evaluation index, and led in agricultural, fruit growing, forestry and biology, ecology etc.
It is used widely in domain.Leaf area index LAI refers in certain land area, plant page area summation and land area it
Than being one of the most basic parameter for describing Vegetation canopy structure.Leaf area index LAI controls various biologies, the physics of vegetation
Process is an important structure in land surface emissivity such as photosynthesis, respiration, transpiration, carbon cycle and rainfall interception
Parameter.
It should also be noted that, being based particularly on the contactless survey of optical instrument with the fast development of sensing technology
The mature of quantity sensor is widely used by the measurement that light quantum sensor carries out photon hypothesis PPFD.Light
Quantum flux density PPFD specifically refers to light quantum of the wavelength on the unit area within the scope of 400~700nm in the unit time
Quantity.
Fig. 1 is the flow diagram of the layered optical measurement method of the fruit tree vertical structure of the embodiment of the present invention, such as Fig. 1 institute
To show, the embodiment of the present invention provides the layered optical measurement method of a planting fruit-trees vertical structure, this method comprises:
S1, calculate separately fruit tree different level layering, for sunlight difference incident direction and same level be layered
The photon hypothesis of different location of the upper linear systematic from arrangement, the ratio between with the sub- flux density of amount of ambient light, to obtain respectively
Fruit tree is taken to be layered upper linear systematic not from arrangement in different layerings, for sunlight difference incident direction and in same level
With the incident light transmission rate of position;Wherein, horizontal slice is by the plane of the vertical division of fruit tree being parallel to the horizontal plane.
Specifically, since the light quantum flux that the incident light transmission rate of any position inside fruit tree canopy is the position is close
Degree leads to extraneous the ratio between the sub- flux density of amount of ambient light without any blockage for example, carrying out light quantum using light quantum sensor
The measurement of metric density, the photon hypothesis response of light quantum sensor any position inside fruit tree canopy are DNc, and
Light quantum sensor is DNe in the photon hypothesis response located without any blockage, then any position inside fruit tree canopy
Incident light transmission rate τ=DNc/DNe.
Therefore, it in order to analyze the vertical structure of fruit tree, in step sl, n is divided into is put down fruit tree is vertical with horizontal plane
Capable plane h1、h2…hi…hn(i < n, and i, n are the natural number greater than 0), then in each horizontal slice hiOn straight line etc.
At the different location of distance arrangement, the incident light transmission rate for being directed to sunlight difference incident direction is obtained.
S2, incident light transmission rate and Leaf angle inclination distribution extinction coefficient are input to light distribution model, export fruit tree in difference
Horizontal slice is layered upper different location of the linear systematic from arrangement for sunlight difference incident direction and in same level
Leaf area index.
Specifically, in step s 2, light distribution model pre-establishes, each horizontal slice that will be obtained in step S1
hiOn linear systematic from the different location of arrangement at, for the incident light transmission rate of sunlight difference incident direction, Yi Jiye
Tilt profiles extinction coefficient is input to light distribution model, enters to obtain fruit tree in different level layering, for sunlight difference
It penetrates direction and is layered the leaf area index LAI (h of upper different location of the linear systematic from arrangement in same leveli,αj,ck)(i、j
With the natural number that k is greater than 0), wherein hiFor different level layering, αjFor sunlight difference incident direction, ckFor same level
Different location of the linear systematic from arrangement in layering.
S3, the leaf area distribution results of different level layering are obtained using spatial interpolation methods according to leaf area index.
It is appreciated that the various spatial interpolation methods are usually used in being converted to the measurement data of discrete point into continuous data song
Face, to be compared with the distribution pattern of other spatial phenomenons.
Specifically, in step s3, using spatial interpolation methods, based on the discrete fruit tree obtained in step S2 in difference
Horizontal slice is layered upper different location of the linear systematic from arrangement for sunlight difference incident direction and in same level
Leaf area index LAI (hi,αj,ck), the leaf area distribution results of different level layering are obtained, fruit tree vertical structure is thus obtained
Leaf area distribution results.
Fig. 4 is the leaf area distribution results of any horizontal slice of the embodiment of the present invention, as shown in figure 4,1 is innermost ring
Circle, 2,3 and 4 are followed successively by 1 annular from inside to outside, for example, the leaf area that 1 leaf area index LAI is 0.98~1.71,2
The leaf area index LAI that the leaf area index LAI that index LAI is 1.71~2.39,3 is 2.39~3.19,4 is 3.19~
4.29.It follows that the leaf area index LAI of ecto-entad is sequentially increased, and illustrates ecto-entad in same level layering
The luxuriant degree in blade face is incremented by successively.
The layered optical measurement method of fruit tree vertical structure provided in an embodiment of the present invention, has obtained fruit tree vertical structure
Leaf area distribution results, fruit tree canopy can only integrally be measured by overcoming existing method and device, and can not get fruit
The problem of setting the Precise structural information of vertical demixing, the embodiment of the present invention can be distributed based on the leaf area of fruit tree vertical structure to be tied
Fruit carries out light distribution and light utilization efficiency optimized evaluation to fruit tree structure, thus optimize for pruning fruit tree or fruit shape etc.
The data supporting of science is provided.
Based on the above embodiment, photon hypothesis is by being arranged in different level layering, being directed to the different incidences of sunlight
Direction and upper multiple light quantum sensor synchronous acquisitions of the linear systematic from the different location of arrangement are layered in same level obtain
, the sub- flux density of amount of ambient light is synchronous with multiple light quantum sensors by light quantum sensor without any blockage is arranged in
Acquisition obtains.
For example, the photon hypothesis that Fig. 2 is the embodiment of the present invention acquires schematic diagram, as shown in Fig. 2, by 30 light quantities
Sub- sensor 5 is mounted on the bracket in same level layering according to the equidistant straight line arrangement of 5cm, and sequentially number is c1、
c2……c30, and 30 light quantum sensors are all arranged such respectively in each horizontal slice.Meanwhile locating without any blockage,
Also identical 1 light quantum sensor is used to acquire the sub- flux density of amount of ambient light as the sub- sensor 6 of amount of ambient light.
It should be noted that the photon hypothesis of same level layering is that synchronous acquisition obtains, and same level
The photon hypothesis of layering and the sub- flux density of amount of ambient light are also synchronous to be obtained, and could accurately be obtained in each level in this way
It is layered hiOn linear systematic from the different location of arrangement at, for the incident light transmission rate of sunlight difference incident direction, because
This, in embodiments of the present invention, the light quantum sensor 5 being layered positioned at same level and amount of ambient light located without any blockage
Sensor 6 is connected by isochronous controller 7, can synchronize the photon hypothesis and amount of ambient light that obtain each horizontal slice
Sub- flux density.
It should be noted that the embodiment of the present invention selects covering 400~700nm wavelength, sensitivity less than 2%, is non-linear
It is less than -0.12% less than 1% (0-10000 μ V/ μm ol/m2/s), temperature dependency/DEG C, the response time is less than 1 μ s, visual angle
180 ° of light quantum sensor.
Based on the above embodiment, light distribution model is based on incident light transmission rate, Leaf angle inclination distribution extinction coefficient and blade face
Product index pre-establishes;Correspondingly, light distribution model are as follows:
τ=exp (- KLAI) (1)
Wherein, τ is incident light transmission rate, and K is Leaf angle inclination distribution extinction coefficient, and LAI is leaf area index.
Further, actually sunlight there are direct projection and scatters two parts inside canopy, therefore incident light transmission rate
Direct projection and scattering two parts are also contained, direct projection and scattering are different for calculating the influence of leaf area index, it is necessary to are subject to
It distinguishes, therefore, light distribution model includes direct projection light distribution submodel and scattering light distribution submodel;
Correspondingly, direct projection light distribution submodel are as follows:
τ1=fb·exp[-K(x,θ)·[1-Gdir(1-a)]·LAI] (2)
Wherein, τ1For direct projection light transmission rate, K is Leaf angle inclination distribution extinction coefficient, and K (x, θ) is the function of x and θ, and LAI is
Leaf area index, fbThe ratio of incident light is accounted for for direct light, θ is incident light zenith angle, and x is oval Leaf angle inclination distribution parameter, a
For absorption coefficient, GdirFor Leaf angle inclination distribution direct projection parameter.
It should be noted that fbCan according to local meteorological department announce measurement data obtain, θ, x, a also be in advance
The parameter known.
Specifically,
Also, GdirIt also is the function of x and θ,
Gdir=exp (- 1.5x) (- 0.2+0.7 θ2)+0.2θ5+0.3 (4)
In addition, scattering light distribution submodel are as follows:
Wherein, τ2To scatter light transmission rate, fbThe ratio of incident light, L are accounted for for direct lightbFor black leaf model leaf area index,
A (x), B (x), C (x) are in the function of x.
Specifically,
Lb=LAI (1-Gdif(1-a)) (7)
Wherein, GdifFor Leaf angle inclination distribution scattering parameter, GdifIt is 0.5.
Therefore, according to τ=DNc/DNe, τ=τ1+τ2And formula (2), (3), (4), (5), (6) and (7), fruit can be obtained
Tree is layered upper linear systematic not from arrangement in different level layering, for sunlight difference incident direction and in same level
With the leaf area index LAI (h of positioni,αj,ck)。
It should be noted that Fig. 3 is the sunlight difference incident direction schematic diagram of the embodiment of the present invention, as shown in figure 3, too
Sunlight difference incident direction include parallel fruit tree row to direction A, vertical fruit tree row to direction B, parallel sun principal plane direction C and
Vertical sun principal plane direction D.Wherein, parallel sun principal plane direction is calculated by time of measuring, measurement longitude and latitude position
, solar azimuth is sun principal plane direction.
Emphasis of the embodiment of the present invention measures problem, the crucial skill of core for current fruit tree canopy vertical structure parameter LAI
Art includes: 1, devises fruit tree canopy vertical structure measuring device first, including canopy light quantum instrument arranged in a straight line and environment
Light quantum instrument, the synchronous synergetic observation of the two can measure the light penetration at any light quantum position;2, differentiation is proposed
The transmitance computation model of light direct projection and contribution of scatters, emphasis considers Leaf angle inclination distribution to light direct projection and scattering in model
And the influence of transmitance, ensuring method are suitble to different canopy layers structure scene and have robustness;3, by main in vertical section
The synchro measure of characteristic direction, the LAI at available each light quantum sensor position, and obtained at section by space interpolation
LAI is continuously distributed, and overcoming existing instrument can only obtain canopy integral value, can not provide detailed distribution situation inside canopy.
The layered optical measurement method for the fruit tree vertical structure that the embodiment of the present invention proposes takes full advantage of current maturation
Light quantum sensor technology and canopy light transmit modeling method, and the two is closely combined together, and realize in situ, efficient
The measurement and distribution drawing of the fruit tree canopy vertical structure parameter LAI of rate.It is uniform and non-equal that this method can be used for canopy simultaneously
One condition overcomes the limitation that traditional measurement method is only suitable for canopy homogeneous distribution and solar radiation scattering.This application invention is special
Benefit provides optimal path for fast, accurately in situ measurement top fruit sprayer external and internal compositions, excellent for fruit tree light distribution, light utilization efficiency
Change assessment and pruning fruit tree, tree-like optimization etc. provide the measurement method and data supporting of science.In addition, this method and dress
Set also can according to need the adjustment for carrying out light quantity subnumber, it is vertical be divided into adjustment, and then can be used for other vegetation patterns, including
The measurement of the canopy structures such as cereal crops, forest, has a good application prospect and huge market value.
Fig. 5 is the structural schematic diagram of the layered optical measuring device of the fruit tree vertical structure of the embodiment of the present invention, such as Fig. 5 institute
Show, the embodiment of the present invention provides the layered optical measuring device of a planting fruit-trees vertical structure, which includes that transmitance calculates list
First 501,502 leaf area distribution unit 503 of leaf area index unit, in which:
Transmitance computing unit 501 is layered, in different level for the different incidence sides of sunlight for calculating separately fruit tree
It is layered the photon hypothesis for going up different location of the linear systematic from arrangement to and same level, is led to amount of ambient light
The ratio between metric density is layered, with obtaining fruit tree respectively different for sunlight difference incident direction and in same level layering
Incident light transmission rate of the linear systematic from the different location of arrangement;Wherein, horizontal slice is by fruit tree vertical division and level
The parallel plane in face.
Specifically, by transmitance computing unit 501 by the vertical plane h for being divided into n and being parallel to the horizontal plane of fruit tree1、
h2…hi…hn(i < n, and i, n are the natural number greater than 0), then in each horizontal slice hiOn linear systematic from arrangement
At different location, the incident light transmission rate for being directed to sunlight difference incident direction is obtained.
Leaf area index unit 502, for incident light transmission rate and Leaf angle inclination distribution extinction coefficient to be input to light distribution
Model, output fruit tree in different level layering, sunlight difference incident direction and are layered upper linear systematic from row in same level
The leaf area index of the different location of cloth.
Specifically, it will transmit through each horizontal slice h of the acquisition of rate computing unit 501 by leaf area index unit 502iOn
Linear systematic from the different location of arrangement at, for the incident light transmission rate and Leaf inclination of sunlight difference incident direction
Distribution extinction coefficient is input to light distribution model, is layered, in different level for the different incidence sides of sunlight to obtain fruit tree
Leaf area index LAI (the h of upper different location of the linear systematic from arrangement is layered to and same leveli,αj,ck) (i, j and k
For the natural number greater than 0), wherein hiFor different level layering, αjFor sunlight difference incident direction, ckFor same level layering
Different location of the upper linear systematic from arrangement.
Leaf area distribution unit 503, for obtaining different level point using spatial interpolation methods according to leaf area index
The leaf area distribution results of layer.
Specifically, discrete based on being obtained in step S2 using spatial interpolation methods by leaf area distribution unit 503
Fruit tree be layered upper linear systematic from arrangement in different level layering, for sunlight difference incident direction and in same level
Different location leaf area index LAI (hi,αj,ck), the leaf area distribution results of different level layering are obtained, are thus obtained
The leaf area distribution results of fruit tree vertical structure.
The layered optical measuring device of fruit tree vertical structure provided in an embodiment of the present invention, has obtained fruit tree vertical structure
Leaf area distribution results, fruit tree canopy can only integrally be measured by overcoming existing method and device, and can not get fruit
The problem of setting the Precise structural information of vertical demixing, the embodiment of the present invention can be distributed based on the leaf area of fruit tree vertical structure to be tied
Fruit carries out light distribution and light utilization efficiency optimized evaluation to fruit tree structure, thus optimize for pruning fruit tree or fruit shape etc.
The data supporting of science is provided.
Further, the device further include: acquisition unit, for synchronous acquisition fruit tree in different level layering, for too
Sunlight difference incident direction and it is layered the photon hypothesis of upper different location of the linear systematic from arrangement in same level,
With the sub- flux density of amount of ambient light.
Further, the device further include: modeling unit, for based on incident light transmission rate, Leaf angle inclination distribution delustring system
Several and leaf area index pre-establishes light distribution model.
Fig. 6 is the structural schematic diagram of the electronic equipment of the embodiment of the present invention, as shown in fig. 6, the embodiment of the invention provides
A kind of electronic equipment, the electronic equipment include: processor (processor) 601, communication interface (Communications
Interface) 602, memory (memory) 603 and communication bus 604, wherein processor 601, communication interface 602, storage
Device 603 completes mutual communication by communication bus 604.Processor 601 can call on memory 603 and can be in processor
The computer program run on 601, to execute the layered optical measurement method of the fruit tree vertical structure of the various embodiments described above offer,
For example, S1, calculate separately fruit tree in different level layering, for sunlight difference incident direction and in same level point
The photon hypothesis of different location of the linear systematic from arrangement on layer, the ratio between with the sub- flux density of amount of ambient light, with respectively
It obtains fruit tree and is layered upper linear systematic from arrangement in different layerings, for sunlight difference incident direction and in same level
The incident light transmission rate of different location;Wherein, horizontal slice is by the plane of the vertical division of fruit tree being parallel to the horizontal plane;S2,
Incident light transmission rate and Leaf angle inclination distribution extinction coefficient are input to light distribution model, output fruit tree is in different level layering, needle
The leaf area index of upper different location of the linear systematic from arrangement is layered to sunlight difference incident direction and in same level;
S3, the leaf area distribution results of different level layering are obtained using spatial interpolation methods according to leaf area index.
In addition, the logical order in above-mentioned memory 603 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
Substantially the part of the part that contributes to existing technology or the technical solution can be in other words for the technical solution of invention
The form of software product embodies, which is stored in a storage medium, including some instructions to
So that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation of the present invention
The all or part of the steps of example method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can be with
Store the medium of program code.
The embodiment of the present invention also provides a kind of non-transient computer readable storage medium, is stored thereon with computer program,
The computer program is implemented to carry out the layered optical of the fruit tree vertical structure of the various embodiments described above offer when being executed by processor
Measurement method, for example, S1, calculate separately fruit tree in different level layering, for sunlight difference incident direction and same
The photon hypothesis of different location of the linear systematic from arrangement in one horizontal slice, with the sub- flux density of amount of ambient light it
Than being layered, with obtaining fruit tree respectively different for sunlight difference incident direction and in the upper linear systematic of same level layering
Incident light transmission rate from the different location of arrangement;Wherein, horizontal slice is being parallel to the horizontal plane the vertical division of fruit tree
Plane;S2, incident light transmission rate and Leaf angle inclination distribution extinction coefficient are input to light distribution model, export fruit tree in different level
Layering is layered the blade face of upper different location of the linear systematic from arrangement for sunlight difference incident direction and in same level
Product index;S3, the leaf area distribution results of different level layering are obtained using spatial interpolation methods according to leaf area index.
The embodiments such as electronic equipment described above are only schematical, wherein unit as illustrated by the separation member
It may or may not be physically separated, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Certain Part Methods of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features;
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. the layered optical measurement method of a planting fruit-trees vertical structure characterized by comprising
It calculates separately fruit tree and is layered upper straight line in different level layering, for sunlight difference incident direction and in same level
The photon hypothesis of the different location of equidistant arrangement, the ratio between with the sub- flux density of amount of ambient light, to obtain fruit tree respectively
Upper difference of the linear systematic from arrangement is layered in the different layerings, for sunlight difference incident direction and in same level
The incident light transmission rate of position;Wherein, the horizontal slice is by the plane of the vertical division of fruit tree being parallel to the horizontal plane;
The incident light transmission rate and Leaf angle inclination distribution extinction coefficient are input to light distribution model, export fruit tree in the difference
Horizontal slice is layered upper different location of the linear systematic from arrangement for sunlight difference incident direction and in same level
Leaf area index;
The leaf area distribution results of the different level layering are obtained using spatial interpolation methods according to the leaf area index.
2. the layered optical measurement method of fruit tree vertical structure according to claim 1, which is characterized in that the light quantum
Flux density is layered upper straight by the different level layering is arranged in, for sunlight difference incident direction and in same level
Multiple light quantum sensor synchronous acquisitions of the different location of the equidistant arrangement of line obtain, the sub- flux density of amount of ambient light by
The light quantum sensor acquisition located without any blockage is arranged in obtain;Wherein, the sub- flux density of the amount of ambient light and any institute
State the photon hypothesis synchronous acquisition of horizontal slice.
3. the layered optical measurement method of fruit tree vertical structure according to claim 1, which is characterized in that the light distribution
Model is pre-established based on incident light transmission rate, Leaf angle inclination distribution extinction coefficient and leaf area index;Correspondingly, the light
Distributed model are as follows:
τ=exp (- KLAI)
Wherein, τ is incident light transmission rate, and K is Leaf angle inclination distribution extinction coefficient, and LAI is leaf area index.
4. the layered optical measurement method of fruit tree vertical structure according to claim 3, which is characterized in that the light distribution
Model includes direct projection light distribution submodel and scattering light distribution submodel;Correspondingly, the direct projection light distribution submodel are as follows:
τ1=fb·exp[-K(x,θ)·[1-Gdir(1-a)]·LAI]
Wherein, τ1For direct projection light transmission rate, K is Leaf angle inclination distribution extinction coefficient, and K (x, θ) is the function of x and θ, and LAI is leaf area
Index, fbThe ratio of incident light is accounted for for direct light, θ is incident light zenith angle, and x is oval Leaf angle inclination distribution parameter, and a is to absorb
Coefficient, GdirFor Leaf angle inclination distribution direct projection parameter;
The scattering light distribution submodel are as follows:
Wherein, τ2To scatter light transmission rate, fbThe ratio of incident light, L are accounted for for direct lightbFor black leaf model leaf area index, A
(x), B (x), C (x) are in the function of x.
5. the layered optical measurement method of fruit tree vertical structure according to claim 1, which is characterized in that the sunlight
Different incident directions include parallel fruit tree row Xiang Fangxiang, vertical fruit tree row Xiang Fangxiang, parallel sun principal plane direction and it is vertical too
Positive principal plane direction.
6. the layered optical measuring device of a planting fruit-trees vertical structure characterized by comprising
Transmitance computing unit, for calculate separately fruit tree different level layering, for sunlight difference incident direction and
Same level is layered the photon hypothesis of upper different location of the linear systematic from arrangement, with the sub- flux density of amount of ambient light it
Than being layered, with obtaining fruit tree respectively in the difference for sunlight difference incident direction and in the upper straight line of same level layering
The incident light transmission rate of the different location of equidistant arrangement;Wherein, the horizontal slice is by fruit tree vertical division and level
The parallel plane in face;
Leaf area index unit, for the incident light transmission rate and Leaf angle inclination distribution extinction coefficient to be input to light distribution mould
Type, output fruit tree be layered in the different level, sunlight difference incident direction and same level layering go up linear systematic from
The leaf area index of the different location of arrangement;
Leaf area distribution unit, for obtaining the different level point using spatial interpolation methods according to the leaf area index
The leaf area distribution results of layer.
7. the layered optical measuring device of fruit tree vertical structure according to claim 6, which is characterized in that further include: it adopts
Collect unit, is layered, in the different level for sunlight difference incident direction and in same level for synchronous acquisition fruit tree
The photon hypothesis of different location of the linear systematic from arrangement in layering, with the sub- flux density of the amount of ambient light.
8. the layered optical measuring device of fruit tree vertical structure according to claim 6, which is characterized in that further include: it builds
Form unit, for pre-establishing the light distribution based on incident light transmission rate, Leaf angle inclination distribution extinction coefficient and leaf area index
Model.
9. a kind of electronic equipment, comprising: memory, processor and storage are on a memory and the calculating that can run on a processor
Machine program, which is characterized in that the processor realizes such as fruit tree described in any one of claim 1 to 5 when executing described program
The layered optical measurement method of vertical structure.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the calculating
Realize that the layered optical such as fruit tree vertical structure described in any one of claim 1 to 5 measures when machine program is executed by processor
Method.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114241033A (en) * | 2021-12-17 | 2022-03-25 | 贵州省山地资源研究所 | Ectopic acquisition method for plant leaf area vertical structure |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2014103181A1 (en) * | 2012-12-26 | 2014-07-03 | 日本電気株式会社 | Image measuring method, system, device, and program |
CN105910556A (en) * | 2016-04-13 | 2016-08-31 | 中国农业大学 | Leaf area vertical distribution information extraction method |
CN106482673A (en) * | 2016-08-27 | 2017-03-08 | 中国农业科学院草原研究所 | Multi-angle grassland vegetation leaf area index observation procedure and instrument |
CN106525731A (en) * | 2016-09-27 | 2017-03-22 | 北京农业信息技术研究中心 | Canopy-leaf-nitrogen vertical distribution detection method and device based on remote sensing and agronomy knowledge |
-
2019
- 2019-07-26 CN CN201910683953.5A patent/CN110426491A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2014103181A1 (en) * | 2012-12-26 | 2014-07-03 | 日本電気株式会社 | Image measuring method, system, device, and program |
CN105910556A (en) * | 2016-04-13 | 2016-08-31 | 中国农业大学 | Leaf area vertical distribution information extraction method |
CN106482673A (en) * | 2016-08-27 | 2017-03-08 | 中国农业科学院草原研究所 | Multi-angle grassland vegetation leaf area index observation procedure and instrument |
CN106525731A (en) * | 2016-09-27 | 2017-03-22 | 北京农业信息技术研究中心 | Canopy-leaf-nitrogen vertical distribution detection method and device based on remote sensing and agronomy knowledge |
Non-Patent Citations (8)
Title |
---|
刘镕源等: "冬小麦叶面积指数地面测量方法的比较", 《农业工程学报》 * |
刘镕源等: "夏玉米冠层光合有效辐射垂直分布模型", 《农业工程学报》 * |
吴蕾: "基于CERES-Maize与PROSAIL模型耦合的冠层反射率模拟分析", 《中国优秀博硕士学位论文全文数据库(硕士)农业科技辑》 * |
张雪红等: "冬小麦冠层光谱的方向性特征分析", 《光谱学与光谱分析》 * |
彭方仁等: "板栗密植园树冠结构特征与光能分布规律的研究a", 《南京林业大学学报》 * |
晁海等: "杏树冠层内光合有效辐射(PAR)", 《新疆农业科学》 * |
杨贵军等: "不同株型冬小麦冠层结构特征多时相分析", 《农业工程学报》 * |
陈健等: "基于机载MASTER数据的果园叶面积指数遥感反演", 《国土资源遥感》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114241033A (en) * | 2021-12-17 | 2022-03-25 | 贵州省山地资源研究所 | Ectopic acquisition method for plant leaf area vertical structure |
CN114241033B (en) * | 2021-12-17 | 2022-07-22 | 贵州省山地资源研究所 | Ectopic acquisition method for plant leaf area vertical structure |
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