CN115456476A - Territorial space planning data acquisition and analysis system based on machine vision - Google Patents
Territorial space planning data acquisition and analysis system based on machine vision Download PDFInfo
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Abstract
The invention relates to the technical field of national soil space planning, and particularly discloses a national soil space planning data acquisition and analysis system based on machine vision, which comprises a garden area division module, a soil environment information acquisition module, a soil environment information analysis module, a fruit tree type screening module, a reference garden screening module, a fruit tree planting quantity analysis module, a fruit tree planting profit analysis module, a cloud storage platform and a display terminal.
Description
Technical Field
The invention belongs to the technical field of homeland space planning, and relates to a homeland space planning data acquisition and analysis system based on machine vision.
Background
Garden planning is one of the indispensable contents in the national soil space planning, and garden planting fruit tree kind selection is one of the most important links in garden planning, and the fruit tree of scientific selection planting in garden planning can guarantee the planting effect and the income in garden, therefore, needs to carry out the analysis to the kind of best planting fruit tree in garden.
The current analysis of the variety of the best planted fruit trees in the garden is mainly to analyze the variety of the fruit trees planted in the garden according to the soil environment and climate of the garden, and obviously, the analysis mode has the following problems:
the income of fruit tree is the leading purpose of garden planting, and the analysis of current garden fruit tree planting income is still comparatively fuzzy and rough, the follow-up fruit tree income condition of unable accurate demonstration, and then can't plant for the fruit tree in garden and provide reliable foundation, and then lead to the effect that garden fruit tree planted not good. On the other hand, the reference garden corresponding to the garden is not screened according to garden climate information in the prior art, so that reliable reference data cannot be provided for the analysis of the planting quantity and the yield of garden fruit trees, and accurate and visual data cannot be provided for the analysis of the subsequent fruit tree planting yield, so that the authenticity and the reliability of the fruit tree yield analysis result cannot be guaranteed, and meanwhile, the yield after the subsequent orchard planting cannot be guaranteed.
Disclosure of Invention
The invention aims to provide a territorial space planning data acquisition and analysis system based on machine vision, which solves the problems in the background technology.
The purpose of the invention can be realized by the following technical scheme: a territorial space planning data acquisition and analysis system based on machine vision comprises: and the garden area division module is used for acquiring images of the target garden to be planned through the camera carried by the unmanned aerial vehicle, further dividing the target garden to be planned into garden areas to be planned according to the grids, and acquiring the areas corresponding to the garden areas to be planned.
The soil environment information acquisition module is used for acquiring soil environment information in each garden to be planned sub-area, wherein the soil environment information comprises soil temperature, soil water content, soil organic matter content and trace element concentration.
And the soil environment information analysis module is used for analyzing the soil environment information corresponding to each garden subregion to be planned to obtain the soil environment coincidence coefficient corresponding to each garden subregion to be planned.
And the fruit tree type screening module is used for screening various fruit trees which are correspondingly and adaptively planted in each garden subregion to be planned and recording the various fruit trees as various adaptive planting types corresponding to each garden subregion to be planned.
And the reference garden screening module is used for analyzing the climate adaptation coefficients corresponding to the garden areas to be planned and the reference parks according to the climate information corresponding to the garden areas to be planned and the reference parks stored by the cloud storage platform, and further screening the target reference parks corresponding to the garden areas to be planned, wherein the climate information comprises illumination intensity, air temperature and precipitation.
And the fruit tree planting quantity analysis module is used for analyzing the quantity of the planted fruit trees of each adaptive planting type fruit tree corresponding to each garden subregion to be planned.
And the fruit tree planting income analysis module is used for analyzing the yield corresponding to each adaptive planting type fruit tree in each garden to be planned sub-area according to the soil temperature, the soil water content and the climate information of each garden to be planned sub-area, further analyzing the income corresponding to each adaptive planting type fruit tree in each garden to be planned sub-area, and screening out the optimal planting type fruit tree corresponding to the target garden to be planned.
The cloud storage platform is used for storing the climate information corresponding to each garden to be planned subregion and the climate information corresponding to each reference garden, storing the planting type fruit trees, the average planting area of a single fruit tree, the average production weight of a single fruit tree and the average income of a single fruit tree of each reference garden, and also storing the soil environment conforming coefficient range corresponding to each type of fruit tree.
And the display terminal is used for displaying the optimal planting type fruit trees corresponding to the target garden to be planned.
Optionally, the soil environment information corresponding to each garden subregion to be planned is analyzed, and the specific analysis process is as followsThe following: substituting the soil temperature, the soil water content, the soil organic matter content and the trace element concentration corresponding to each garden subregion to be planned into a calculation formula
In the method, the soil environment coincidence coefficient corresponding to each garden subregion to be planned is obtained
Wherein, T i 、W i 、Y i 、C i Respectively representing the soil temperature, the soil water content, the soil organic matter content and the trace element concentration corresponding to the ith garden sub-area to be planned, wherein T ', W', Y 'and C' are respectively set reference soil temperature, reference soil water content, reference soil organic matter content and reference trace element concentration epsilon 1 、ε 2 、ε 3 、ε 4 And the weighting factors are respectively corresponding to the set soil temperature, the set soil water content, the set soil organic matter content and the set trace element concentration, i represents a number corresponding to each garden subregion to be planned, and i =1,2.
Optionally, the screening out the fruit trees of the species correspondingly adapted to be planted in each garden subregion to be planned includes the following specific screening processes: and comparing the soil environment coincidence coefficient corresponding to each garden subarea to be planned with the soil environment coincidence coefficient range corresponding to each type of fruit tree stored in the cloud storage platform, and if the soil environment coincidence coefficient corresponding to a certain garden subarea to be planned is within the soil environment coincidence coefficient range corresponding to a certain type of fruit tree, judging that the garden subarea to be planned is adaptive to planting the type of fruit tree, and screening the type of fruit tree correspondingly adaptive to each garden subarea to be planned in the mode.
Optionally, the analysis of the climate adaptation coefficients corresponding to the sub-areas of the garden to be planned and the reference parks includes the following specific analysis processes: substituting the illumination intensity, air temperature and precipitation corresponding to each garden subregion to be planned and each reference garden into a calculation formula
In the method, the climate adaptation coefficients corresponding to the reference parks and the garden subareas to be planned are obtained
Wherein G is i 、F i 、R i Respectively representing the illumination intensity, the air temperature, the precipitation amount and G corresponding to the ith garden subregion to be planned j 、F j 、R j Respectively representing the illumination intensity, air temperature and precipitation amount corresponding to the jth reference park, wherein delta G, delta F and delta R are respectively set allowable illumination intensity difference, allowable air temperature difference and allowable precipitation amount difference, gamma 1 、γ 2 、γ 3 And j represents a number corresponding to each reference park, and j =1,2.
Optionally, the screening of each target reference garden corresponding to each garden subregion to be planned includes the following specific screening process: comparing the climate adaptation coefficients corresponding to the garden sub-areas to be planned and the reference parks with the set standard climate adaptation coefficients, if the climate adaptation coefficients corresponding to a certain garden sub-area to be planned and a certain reference park are greater than or equal to the set standard climate adaptation coefficients, judging that the climate of the garden sub-area to be planned and the reference park is the same, and taking the reference park as a target reference park corresponding to the garden sub-area to be planned, so as to screen out each target reference park corresponding to each garden sub-area to be planned.
Optionally, the number of the planted fruit trees of each adaptive planting species corresponding to each garden subregion to be planned is analyzed, and the specific analysis process is as follows: and extracting the number of each target reference garden corresponding to each garden to be planned subregion, and further extracting the planting type fruit trees of each target reference garden corresponding to each garden to be planned subregion from the cloud storage platform.
And matching and comparing each adaptive planting type fruit tree corresponding to each garden to be planned subregion with the planting type fruit tree of each target reference garden corresponding to the adaptive planting type fruit tree, and if a certain adaptive planting type fruit tree corresponding to a certain garden to be planned subregion is the same as the planting type fruit tree of a certain target reference garden corresponding to the garden to be planned subregion, respectively taking the average planting area, the average production weight and the average income of a single fruit tree corresponding to the target reference garden in the garden to be planned subregion as the reference planting area, the reference production weight and the reference income of the single fruit tree corresponding to the adaptive planting type fruit tree in the garden to be planned subregion, so as to obtain the reference planting area, the reference production weight and the reference income of the single fruit tree corresponding to each adaptive planting type fruit tree in each garden to be planned subregion.
Calculating the number of the planting fruit trees corresponding to each adaptive planting species fruit tree in each garden to be planned sub-area based on the area corresponding to each garden to be planned sub-area and the reference planting area of a single fruit tree corresponding to each adaptive planting species fruit tree in each garden to be planned sub-area, and marking the number as the number of the planting fruit trees
Wherein u represents a number corresponding to each fruit tree of the adapted planting species, and u =1,2.
Optionally, the yield corresponding to each fruit tree of the adapted planting species in each garden sub-area to be planned is analyzed, and the specific analysis process is as follows: substituting the soil temperature, the soil water content, the illumination intensity, the air temperature and the precipitation of each garden subregion to be planned into a formula
In the method, a production influence coefficient delta corresponding to each garden subregion to be planned is obtained i Wherein, T a 、W a 、G a 、F a 、R a Respectively setting the production standard soil temperature, the standard soil water content, the standard illumination intensity, the standard air temperature, the standard precipitation and delta T 1 、ΔW 1 Respectively the set production reference soil temperature, the reference soil water content and mu 1 、μ 2 、μ 3 、μ 4 、μ 5 Respectively set soil temperature, soil water content, illumination intensity and gasCoefficient factors corresponding to the temperature and the precipitation.
The production influence coefficient delta corresponding to each garden subregion to be planned i Substituting the reference production weight of each fruit tree corresponding to each adaptive planting type fruit tree in each garden to be planned into a calculation formula
In the method, the yield of a single fruit tree corresponding to each adaptive planting species fruit tree in each garden to be planned is obtained
Wherein the content of the first and second substances,
and the reference production weight of a single fruit tree corresponding to the u th fruit tree of the adaptive planting species in the ith garden subregion to be planned is represented, and sigma is a set yield correction factor.
Optionally, the income corresponding to each fruit tree of the adapted planting species in each garden to be planned is analyzed, and the specific analysis process is as follows: the yield of a single fruit tree corresponding to each adapted planting species fruit tree in each garden to be planned sub-area is measured
The number of the planted fruit trees corresponding to each adaptive planting species fruit tree in each region of the garden to be planned
Substituting the reference yield of each fruit tree of each adaptive planting species corresponding to each garden subregion to be planned into a calculation formula
In the method, the income corresponding to each adaptive planting type fruit tree in each garden to be planned is obtained
Wherein, the first and the second end of the pipe are connected with each other,
and (4) representing the reference yield of a single fruit tree corresponding to the u th adaptive planting species fruit tree in the ith garden area to be planned, wherein tau is a set yield correction factor.
Optionally, the screening of the optimal planting type fruit tree corresponding to the target garden to be planned specifically includes the following steps: and sequencing the profits of the various adaptive planting type fruit trees corresponding to the garden subareas to be planned according to the descending order, further extracting the adaptive planting type fruit trees corresponding to the maximum profits corresponding to the garden subareas to be planned, taking the adaptive planting type fruit trees as target planting type fruit trees corresponding to the garden subareas to be planned, further comparing the target planting type fruit trees corresponding to the garden subareas to be planned, and selecting the most target planting type fruit trees as the optimal planting type fruit trees corresponding to the garden subareas to be planned.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the machine vision-based territorial soil space planning data acquisition and analysis system, the target garden to be planned is divided into regions, the soil environment information of the garden sub-regions to be planned is analyzed, the types of the adaptive planting fruit trees corresponding to the garden sub-regions to be planned are further screened, the reference garden corresponding to the garden sub-regions to be planned is screened according to the climate information corresponding to the garden sub-regions to be planned, the planting quantity and yield corresponding to the adaptive planting type fruit trees in the garden sub-regions to be planned are analyzed, the income analysis of the adaptive planting type fruit trees in the garden sub-regions to be planned is further analyzed, the problems that the garden fruit tree planting income analysis in the prior art is fuzzy and rough are solved, the intelligent and automatic analysis of garden planting type fruit tree selection is achieved, the scientificity of garden planting type fruit tree selection is guaranteed, the garden fruit tree planting income is effectively guaranteed, and the production effect of the garden is greatly increased.
2. According to the method, the soil environment information of the garden sub-areas to be planned is acquired in the soil environment information acquisition module, so that a foundation is laid for subsequent soil environment analysis, the accuracy and the reliability of the soil environment information analysis result are effectively guaranteed, a basis is provided for the subsequent screening of garden adaptation fruit tree types, and meanwhile the authenticity of garden adaptation fruit tree type adaptation screening results is guaranteed.
3. According to the method, the reference garden corresponding to each garden subregion to be planned is screened in the reference garden screening module according to the climate information of each garden subregion to be planned, and then the bedding is set for the analysis of the planting quantity and the yield of the fruit trees in the subsequent garden, so that the accuracy of the analysis result of the planting quantity and the yield of the fruit trees is effectively guaranteed, meanwhile, the scientificity and the accuracy of the analysis result of the fruit tree planting income are also effectively guaranteed, a reference is provided for the selection of the fruit tree species planted in the subsequent garden, and the fruit tree planting income of the subsequent garden is also greatly guaranteed to a certain extent.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a system module connection structure according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a system for acquiring and analyzing homeland space planning data based on machine vision includes: the garden area division module, the soil environment information acquisition module, the soil environment information analysis module, the fruit tree kind screening module, refer to garden screening module, fruit tree planting quantity analysis module, fruit tree planting income analysis module, cloud storage platform and display terminal.
Soil environment information collection module divides the module with garden area region respectively and soil environment information analysis module is connected, cloud storage platform is connected with reference garden ground screening module, fruit tree planting quantity analysis module and fruit tree planting profit analysis module respectively, fruit tree kind screening module still is connected with soil environment information analysis and reference garden ground screening module, fruit tree planting quantity analysis module still with reference garden ground screening module and fruit tree planting profit analysis module are connected, fruit tree planting profit analysis module still is connected with display terminal.
And the garden area division module is used for acquiring images of the target garden to be planned through the camera carried by the unmanned aerial vehicle, further dividing the target garden to be planned into garden areas to be planned according to the grids, and acquiring the areas corresponding to the garden areas to be planned.
The soil environment information acquisition module is used for acquiring soil environment information in each to-be-planned garden sub-area, wherein the soil environment information comprises soil temperature, soil water content, soil organic matter content and trace element concentration.
In a specific embodiment, the soil environment information in each garden sub-area to be planned is collected, and the specific collection process is as follows. And collecting the soil temperature in each garden to be planned by the temperature sensor to obtain the soil temperature corresponding to each garden to be planned.
And collecting the soil water content in each garden sub-area to be planned through the soil water monitor to obtain the soil water content corresponding to each garden sub-area to be planned.
And collecting the soil organic matter content in each garden sub-area to be planned through a soil organic matter tester to obtain the soil organic matter content corresponding to each garden sub-area to be planned.
And collecting the concentration of the trace elements in each garden subregion to be planned through a soil trace element detector to obtain the concentration of the trace elements corresponding to each garden subregion to be planned.
It should be noted that the soil organic matter not only can provide nutrition for the growth of fruit trees, increase the effectiveness of nutrients, retain water, fertilizer and buffer the acid and alkali buffer capacity of soil, but also can promote the formation of soil aggregate structure, improve the physical properties of soil and the like, so that the soil organic matter content in each to-be-planned garden area needs to be collected.
It should be noted that the trace elements include, but are not limited to, iron, boron, manganese, copper and zinc, and the trace elements affect the growth, yield and quality of fruit trees, so the concentration of the trace elements in each region of the garden to be planned needs to be collected.
According to the method and the device, the soil environment information of the garden sub-areas to be planned is collected, so that a foundation is laid for subsequent soil environment analysis, the accuracy and the reliability of the soil environment information analysis result are effectively guaranteed, a basis is provided for the subsequent garden adaptation fruit tree type screening, and meanwhile the authenticity of the garden adaptation fruit tree type screening result is guaranteed.
And the soil environment information analysis module is used for analyzing the soil environment information corresponding to each garden subregion to be planned to obtain the soil environment coincidence coefficient corresponding to each garden subregion to be planned.
In a specific embodiment, the soil environment information corresponding to each garden sub-area to be planned is analyzed, and the specific analysis process is as follows: substituting the soil temperature, the soil water content, the soil organic matter content and the trace element concentration corresponding to each garden subregion to be planned into a calculation formula
In the method, the soil environment conforming coefficient corresponding to each garden subregion to be planned is obtained
Wherein, T i 、W i 、Y i 、C i Respectively representing the soil temperature, the soil water content, the soil organic matter content and the trace element concentration corresponding to the ith garden subregion to be planned, wherein T ', W', Y 'and C' are respectively set reference soil temperature, reference soil water content, reference soil organic matter content and reference trace element concentration epsilon 1 、ε 2 、ε 3 、ε 4 The weighting factors are respectively corresponding to the set soil temperature, the set soil water content, the set soil organic matter content and the set trace element concentration, i represents a number corresponding to each garden subarea to be planned, and i =1,2.
The fruit tree type screening module is used for screening various fruit trees which are correspondingly and adaptively planted in each garden subregion to be planned and recording the various fruit trees as various adaptive planting types corresponding to each garden subregion to be planned;
in a specific embodiment, the fruit trees of the same species which are correspondingly adapted to be planted in each garden subregion to be planned are screened out, and the specific screening process is as follows: and comparing the soil environment coincidence coefficient corresponding to each garden to be planned subregion with the soil environment coincidence coefficient range corresponding to each type of fruit tree stored in the cloud storage platform, if the soil environment coincidence coefficient corresponding to a certain garden to be planned subregion is within the soil environment coincidence coefficient range corresponding to a certain type of fruit tree, judging the garden to be planned subregion to be matched with and planting the type of fruit tree, and screening the type of fruit tree correspondingly matched and planted by each garden to be planned subregion in the mode.
It should be noted that the species of fruit trees include, but are not limited to, apple trees, pear trees, hawthorn trees, papaya trees, peach trees, plum trees, cherry trees, kiwi trees, pomegranate trees, and grape trees.
And the reference garden screening module is used for analyzing the climate adaptation coefficients corresponding to the garden areas to be planned and the reference parks according to the climate information, stored by the cloud storage platform, corresponding to the garden areas to be planned and the reference parks, and screening the target reference parks corresponding to the garden areas to be planned, wherein the climate information comprises illumination intensity, air temperature and precipitation.
In a particular embodimentIn the method, the climate adaptation coefficients corresponding to the garden subareas to be planned and the reference parks are analyzed, and the specific analysis process is as follows: substituting the illumination intensity, air temperature and precipitation corresponding to each garden subregion to be planned and each reference garden into a calculation formula
In the method, climate adaptation coefficients corresponding to the garden subareas to be planned and the reference parks are obtained
Wherein G is i 、F i 、R i Respectively representing the illumination intensity, the air temperature, the precipitation amount and G corresponding to the ith garden subregion to be planned j 、F j 、R j Respectively representing the illumination intensity, air temperature and precipitation amount corresponding to the jth reference park, wherein delta G, delta F and delta R are respectively set allowable illumination intensity difference, allowable air temperature difference and allowable precipitation amount difference, gamma 1 、γ 2 、γ 3 And the weighting factors are respectively corresponding to the set illumination intensity, air temperature and precipitation, j represents a number corresponding to each reference park, and j =1,2.
The light intensity, air temperature and precipitation of the garden are the average light intensity, average air temperature and average precipitation of the garden over years, respectively.
In another specific embodiment, each target reference garden corresponding to each garden sub-area to be planned is screened, and the specific screening process is as follows: comparing the climate adaptation coefficients corresponding to the garden sub-areas to be planned and the reference parks with the set standard climate adaptation coefficients, if the climate adaptation coefficients corresponding to a certain garden sub-area to be planned and a certain reference park are greater than or equal to the set standard climate adaptation coefficients, judging that the climate of the garden sub-area to be planned and the reference park is the same, and taking the reference park as a target reference park corresponding to the garden sub-area to be planned, so as to screen out each target reference park corresponding to each garden sub-area to be planned.
According to the embodiment of the invention, the reference garden corresponding to each garden subregion to be planned is screened according to the climate information of each garden subregion to be planned, and then the bedding is set for the analysis of the planting quantity and the yield of the fruit trees in the subsequent garden, so that the accuracy of the analysis result of the planting quantity and the yield of the fruit trees is effectively ensured, meanwhile, the scientificity and the accuracy of the analysis result of the fruit tree planting income are also effectively ensured, a reference is provided for the selection of the fruit tree species planted in the subsequent garden, and the fruit tree planting income of the subsequent garden is also greatly ensured to a certain extent.
The fruit tree planting quantity analysis module is used for analyzing the quantity of the planted fruit trees of each adaptive planting type corresponding to each garden subregion to be planned;
in a specific embodiment, the number of the planted fruit trees of each adaptive planting species corresponding to each garden subregion to be planned is analyzed, and the specific analysis process is as follows: and extracting the number of each target reference garden corresponding to each garden to be planned subregion, and further extracting the planting type fruit trees of each target reference garden corresponding to each garden to be planned subregion from the cloud storage platform.
And matching and comparing each adaptive planting type fruit tree corresponding to each garden to be planned subregion with the planting type fruit tree of each target reference garden corresponding to the adaptive planting type fruit tree, and if a certain adaptive planting type fruit tree corresponding to a certain garden to be planned subregion is the same as the planting type fruit tree of a certain target reference garden corresponding to the garden to be planned subregion, respectively taking the average planting area, the average production weight and the average income of a single fruit tree corresponding to the target reference garden in the garden to be planned subregion as the reference planting area, the reference production weight and the reference income of the single fruit tree corresponding to the adaptive planting type fruit tree in the garden to be planned subregion, so as to obtain the reference planting area, the reference production weight and the reference income of the single fruit tree corresponding to each adaptive planting type fruit tree in each garden to be planned subregion.
Based on the area corresponding to each garden to be planned and the reference planting area of each fruit tree corresponding to each fruit tree of the adaptive planting species in each garden to be planned,calculating to obtain the number of the planted fruit trees corresponding to each adaptive planting species of fruit trees in each garden to be planned, and marking the number as
Wherein u represents a number corresponding to each fruit tree of the adapted planting species, and u =1,2.
It should be noted that the number of the planted fruit trees corresponding to each adaptive planting type fruit tree in each garden to be planned is obtained by calculation, and the specific calculation formula is as follows:
wherein S i Represents the area corresponding to the ith circular region to be planned,
and the reference planting area of a single fruit tree corresponding to the u th fruit tree of the adaptive planting species in the ith garden area to be planned is shown.
And the fruit tree planting income analysis module is used for analyzing the yield corresponding to each adaptive planting type fruit tree in each garden to be planned sub-area according to the soil temperature, the soil water content and the climate information of each garden to be planned sub-area, further analyzing the income corresponding to each adaptive planting type fruit tree in each garden to be planned sub-area, and screening out the optimal planting type fruit tree corresponding to the target garden to be planned.
In a specific embodiment, the yield corresponding to each fruit tree of the adapted planting species in each garden sub-area to be planned is analyzed, and the specific analysis process is as follows: substituting the soil temperature, the soil water content, the illumination intensity, the air temperature and the precipitation of each garden subregion to be planned into a formula
In the method, the production influence coefficient delta corresponding to each garden subregion to be planned is obtained i Wherein, T a 、W a 、G a 、F a 、R a Respectively set production standard soil temperature, standard soil water content and standard illumination intensityTemperature, standard air temperature, standard precipitation,. DELTA.T 1 、ΔW 1 Respectively set production reference soil temperature, reference soil water content, mu 1 、μ 2 、μ 3 、μ 4 、μ 5 And the coefficient factors are respectively corresponding to the set soil temperature, soil water content, illumination intensity, air temperature and precipitation.
The production influence coefficient delta corresponding to each garden subregion to be planned i Substituting the reference production weight of each fruit tree corresponding to each adaptive planting species fruit tree in each garden to be planned into a calculation formula
In the method, the yield of a single fruit tree corresponding to each adaptive planting species fruit tree in each garden to be planned is obtained
Wherein, the first and the second end of the pipe are connected with each other,
and the reference production weight of a single fruit tree corresponding to the u th fruit tree of the adaptive planting species in the ith garden subregion to be planned is represented, and sigma is a set yield correction factor.
In another specific embodiment, the income corresponding to each fruit tree of the adapted planting species in each garden sub-area to be planned is analyzed, and the specific analysis process is as follows: the yield of a single fruit tree corresponding to each adapted planting species fruit tree in each garden to be planned sub-area is measured
The number of the planted fruit trees corresponding to each adaptive planting type fruit tree in each to-be-planned garden sub-area
Substituting the reference income of each fruit tree of each adaptive planting type corresponding to each garden subregion to be planned into a calculation formula
In the method, the income corresponding to each adaptive planting type fruit tree in each garden to be planned is obtained
Wherein the content of the first and second substances,
and (4) representing the reference yield of a single fruit tree corresponding to the u-th fruit tree of the adaptive planting species in the ith garden area to be planned, wherein tau is a set yield correction factor.
In another specific embodiment, the optimal planting type fruit tree corresponding to the target garden to be planned is screened out, and the specific screening process is as follows: and sequencing the profits of the various adaptive planting type fruit trees corresponding to the garden subareas to be planned according to the descending order, further extracting the adaptive planting type fruit trees corresponding to the maximum profits corresponding to the garden subareas to be planned, taking the adaptive planting type fruit trees as target planting type fruit trees corresponding to the garden subareas to be planned, further comparing the target planting type fruit trees corresponding to the garden subareas to be planned, and selecting the most target planting type fruit trees as the optimal planting type fruit trees corresponding to the garden subareas to be planned.
According to the method and the device, the target garden to be planned is divided into areas, the soil environment information of each garden to be planned is analyzed, the type of the fruit trees to be planted in a matched mode corresponding to each garden to be planned is screened out, meanwhile, the reference garden corresponding to each garden to be planned is screened out according to the climate information corresponding to each garden to be planned, the planting quantity and the yield of each fruit tree to be planted in each garden to be planned are analyzed, the income of each fruit tree to be planted in each garden to be planned is analyzed, the problem that the analysis of the income of garden fruit trees in the current technology is fuzzy and rough is solved, the intelligent and automatic analysis of garden planting type fruit tree selection is achieved, the scientificity of garden planting type fruit tree selection is guaranteed, the income of garden fruit trees is effectively guaranteed, and the production effect of gardens is greatly increased.
The cloud storage platform is used for storing the climate information corresponding to each garden to be planned sub-area and the climate information corresponding to each reference garden, storing the planting fruit tree type, the average planting area of a single fruit tree, the average production weight of a single fruit tree and the average income of a single fruit tree of each reference garden, and also used for storing the soil environment conforming coefficient range corresponding to each fruit tree type.
And the display terminal is used for displaying the optimal planting type fruit trees corresponding to the target garden to be planned.
The foregoing is merely illustrative and explanatory of the present invention and various modifications, additions or substitutions may be made to the specific embodiments described by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.
Claims (9)
1. A territorial space planning data acquisition and analysis system based on machine vision is characterized by comprising:
the garden area dividing module is used for collecting images of a target garden to be planned through a camera carried by the unmanned aerial vehicle, further dividing the target garden to be planned into garden sub-areas to be planned according to grids, and acquiring areas corresponding to the garden sub-areas to be planned;
the soil environment information acquisition module is used for acquiring soil environment information in each garden to be planned sub-area, wherein the soil environment information comprises soil temperature, soil water content, soil organic matter content and trace element concentration;
the soil environment information analysis module is used for analyzing the soil environment information corresponding to each garden subregion to be planned to obtain a soil environment coincidence coefficient corresponding to each garden subregion to be planned;
the fruit tree type screening module is used for screening various fruit trees which are correspondingly and adaptively planted in each garden subregion to be planned and recording the various fruit trees as various adaptive planting types corresponding to each garden subregion to be planned;
the reference garden screening module is used for analyzing the climate adaptation coefficients corresponding to the garden areas to be planned and the reference parks according to the climate information, stored by the cloud storage platform, corresponding to the garden areas to be planned and the reference parks, and further screening target reference parks corresponding to the garden areas to be planned, wherein the climate information comprises illumination intensity, air temperature and precipitation;
the fruit tree planting quantity analysis module is used for analyzing the quantity of the planted fruit trees of each adaptive planting type corresponding to each garden subregion to be planned;
the fruit tree planting profit analysis module is used for analyzing the yield corresponding to each adaptive planting type fruit tree in each garden to be planned sub-area according to the soil temperature, the soil water content and the climate information of each garden to be planned sub-area, further analyzing the profit corresponding to each adaptive planting type fruit tree in each garden to be planned sub-area, and screening out the optimal planting type fruit tree corresponding to the target garden to be planned;
the cloud storage platform is used for storing climate information corresponding to each garden to be planned sub-area and climate information corresponding to each reference garden, storing planting type fruit trees, average planting area of single fruit trees, average production weight of single fruit trees and average income of single fruit trees of each reference garden, and storing soil environment conforming coefficient ranges corresponding to various fruit trees;
and the display terminal is used for displaying the optimal planting type fruit trees corresponding to the target garden to be planned.
2. The machine vision-based homeland space planning data acquisition and analysis system of claim 1, wherein: the soil environment information corresponding to each garden subregion to be planned is analyzed, and the specific analysis process is as follows:
substituting soil temperature, soil water content, soil organic matter content and trace element concentration corresponding to each garden subregion to be planned into a calculation formula
In the method, the soil environment coincidence coefficient corresponding to each garden subregion to be planned is obtained
Wherein, T i 、W i 、Y i 、C i Respectively representing the soil temperature, the soil water content, the soil organic matter content and the trace element concentration corresponding to the ith garden sub-area to be planned, wherein T ', W', Y 'and C' are respectively set reference soil temperature, reference soil water content, reference soil organic matter content and reference trace element concentration epsilon 1 、ε 2 、ε 3 、ε 4 And the weighting factors are respectively corresponding to the set soil temperature, the set soil water content, the set soil organic matter content and the set trace element concentration, i represents a number corresponding to each garden subregion to be planned, and i =1,2.
3. The machine vision-based homeland space planning data acquisition and analysis system of claim 2, wherein: the method comprises the following steps of screening out fruit trees of the variety correspondingly adaptive to planting in each garden subregion to be planned, wherein the specific screening process comprises the following steps:
and comparing the soil environment coincidence coefficient corresponding to each garden subarea to be planned with the soil environment coincidence coefficient range corresponding to each type of fruit tree stored in the cloud storage platform, and if the soil environment coincidence coefficient corresponding to a certain garden subarea to be planned is within the soil environment coincidence coefficient range corresponding to a certain type of fruit tree, judging that the garden subarea to be planned is adaptive to planting the type of fruit tree, and screening the type of fruit tree correspondingly adaptive to each garden subarea to be planned in the mode.
4. The machine vision-based homeland space planning data acquisition and analysis system of claim 1, wherein: the method comprises the following steps of analyzing the climate adaptation coefficients corresponding to each garden subarea to be planned and each reference garden, and specifically analyzing the climate adaptation coefficients as follows:
the illumination corresponding to each garden subarea to be planned and each reference gardenSubstituting the intensity, air temperature and precipitation into a calculation formula
In the method, climate adaptation coefficients corresponding to the garden subareas to be planned and the reference parks are obtained
Wherein, G i 、F i 、R i Respectively represent the illumination intensity, air temperature and precipitation amount corresponding to the ith garden subregion to be planned, G j 、F j 、R j Respectively representing the illumination intensity, air temperature and precipitation amount corresponding to the jth reference park, wherein delta G, delta F and delta R are respectively set allowable illumination intensity difference, allowable air temperature difference and allowable precipitation amount difference, gamma 1 、γ 2 、γ 3 And j represents a number corresponding to each reference park, and j =1,2.
5. The machine vision-based homeland space planning data acquisition and analysis system of claim 4, wherein: screening out the target reference garden corresponding to each garden subregion to be planned, wherein the specific screening process comprises the following steps:
comparing the climate adaptation coefficients corresponding to the garden subareas to be planned and the reference parks with the set standard climate adaptation coefficient, if the climate adaptation coefficient corresponding to a certain garden subarea to be planned and a certain reference park is greater than or equal to the set standard climate adaptation coefficient, judging that the climate of the garden subarea to be planned and the reference park is the same, and taking the reference park as a target reference park corresponding to the garden subarea to be planned, so as to screen out the target reference parks corresponding to the garden subareas to be planned.
6. The machine vision-based homeland space planning data acquisition and analysis system of claim 5, wherein: the method comprises the following steps of analyzing the number of planted fruit trees of each adaptive planting type fruit tree corresponding to each garden subregion to be planned, wherein the specific analysis process comprises the following steps:
extracting the number of each target reference garden corresponding to each garden to be planned subregion, and further extracting the planting type fruit trees of each target reference garden corresponding to each garden to be planned subregion from the cloud storage platform;
matching and comparing each adaptive planting type fruit tree corresponding to each garden to be planned subregion with a planting type fruit tree of each target reference garden corresponding to the adaptive planting type fruit tree, and if a certain adaptive planting type fruit tree corresponding to a certain garden to be planned subregion is the same as a certain target reference garden corresponding to the garden to be planned subregion, respectively taking the average planting area, the average production weight and the average income of a single fruit tree of the target reference garden corresponding to the target reference garden in the garden to be planned subregion as the reference planting area, the reference production weight and the reference income of the single fruit tree of the adaptive planting type fruit tree in the garden to be planned subregion, so as to obtain the reference planting area, the reference production weight and the reference income of the single fruit tree of each adaptive planting type fruit tree in each garden to be planned subregion;
calculating the number of the planting fruit trees corresponding to the fruit trees of the various adaptation planting types in the garden sub-areas to be planned based on the area corresponding to the garden sub-areas to be planned and the reference planting area of the single fruit tree corresponding to the fruit trees of the various adaptation planting types in the garden sub-areas to be planned, and marking the number as the number of the planting fruit trees
Wherein u represents a number corresponding to each fruit tree of the adapted planting species, and u =1,2.
7. The machine vision-based homeland space planning data acquisition and analysis system of claim 6, wherein: the yield corresponding to each adaptive planting species fruit tree in each garden to be planned sub-area is analyzed, and the specific analysis process is as follows:
each garden to be plannedSubstituting soil temperature, soil water content, illumination intensity, air temperature and precipitation of the ground area into a formula
In the method, the production influence coefficient delta corresponding to each garden subregion to be planned is obtained i Wherein, T a 、W a 、G a 、F a 、R a Respectively setting the production standard soil temperature, the standard soil water content, the standard illumination intensity, the standard air temperature, the standard precipitation and delta T 1 、ΔW 1 Respectively the set production reference soil temperature, the reference soil water content and mu 1 、μ 2 、μ 3 、μ 4 、μ 5 Respectively setting coefficient factors corresponding to the soil temperature, the soil water content, the illumination intensity, the air temperature and the precipitation;
the production influence coefficient delta corresponding to each garden subregion to be planned i Substituting the reference production weight of each fruit tree corresponding to each adaptive planting type fruit tree in each garden to be planned into a calculation formula
In the method, the yield of a single fruit tree corresponding to each adaptive planting species fruit tree in each garden to be planned is obtained
Wherein the content of the first and second substances,
and the reference production weight of a single fruit tree corresponding to the u th fruit tree of the adaptive planting species in the ith garden subregion to be planned is represented, and sigma is a set yield correction factor.
8. The machine vision-based homeland space planning data acquisition and analysis system of claim 7, wherein: the method comprises the following steps of analyzing the income corresponding to each adaptive planting species fruit tree in each garden to be planned subregion, wherein the specific analysis process is as follows:
the yield of a single fruit tree corresponding to each adaptive planting species fruit tree in each garden to be planned sub-area
The number of the planted fruit trees corresponding to each adaptive planting type fruit tree in each to-be-planned garden sub-area
Substituting the reference income of each fruit tree of each adaptive planting type corresponding to each garden subregion to be planned into a calculation formula
In the method, the income corresponding to each adaptive planting type fruit tree in each garden to be planned is obtained
Wherein the content of the first and second substances,
and (4) representing the reference yield of a single fruit tree corresponding to the u-th fruit tree of the adaptive planting species in the ith garden area to be planned, wherein tau is a set yield correction factor.
9. The machine vision-based homeland space planning data acquisition and analysis system of claim 8, wherein: the method comprises the following steps of screening out the optimal planting type fruit trees corresponding to the target garden to be planned, wherein the specific screening process comprises the following steps:
and sequencing the profits of the various adaptive planting type fruit trees corresponding to the garden subareas to be planned according to the descending order, further extracting the adaptive planting type fruit trees corresponding to the maximum profits corresponding to the garden subareas to be planned, taking the adaptive planting type fruit trees as target planting type fruit trees corresponding to the garden subareas to be planned, further comparing the target planting type fruit trees corresponding to the garden subareas to be planned with each other, and selecting the most target planting type fruit trees as the optimal planting type fruit trees corresponding to the garden subareas to be planned.
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