CN115456476B - Homeland space planning data acquisition and analysis system based on machine vision - Google Patents
Homeland 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 homeland space planning, and particularly discloses a homeland space planning data acquisition and analysis system based on machine vision, which comprises a garden area dividing 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 income 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
The garden planning is one of the indispensable contents in the homeland space planning, the choice of the types of the planted fruit trees in the garden is one of the most important links in the garden planning, and the scientifically selected planted fruit trees in the garden planning can ensure the planting effect and income of the garden, so that the analysis of the types of the best planted fruit trees in the garden is needed.
The current analysis of the best planted fruit tree species in the garden is mainly to analyze the species of the planted fruit tree in the garden according to the soil environment and climate of the garden, and it is obvious that the analysis mode has the following problems:
the income of the fruit trees is the most main purpose of planting in the garden, the current analysis of the fruit tree planting income in the garden is fuzzy and rough, the subsequent fruit tree income situation cannot be accurately displayed, and further reliable basis cannot be provided for the fruit tree planting in the garden, so that the effect of the fruit tree planting in the garden is poor. On the other hand, the prior art does not screen the reference land corresponding to the land according to the land climate information, and further can not provide reliable reference data for analyzing the planting quantity and yield of the fruit trees in the land, and further can not guarantee that accurate and visual data are provided for analyzing the planting yields of the subsequent fruit trees, so that the authenticity and the reliability of the fruit tree yield analysis results can not be guaranteed, and meanwhile, the yields after the planting of the subsequent fruit trees can not be guaranteed.
Disclosure of Invention
The invention aims to provide a system for acquiring and analyzing homeland space planning data based on machine vision, which solves the problems in the background technology.
The aim of the invention can be achieved by the following technical scheme: a machine vision-based homeland space planning data acquisition and analysis system, comprising: the round area dividing module is used for acquiring images of the target round area to be planned through the cameras carried by the unmanned aerial vehicle, dividing the target round area to be planned into round area sub-areas to be planned according to grids, and acquiring the areas corresponding to the round area sub-areas to be planned.
The soil environment information acquisition module is used for acquiring soil environment information in each to-be-planned land 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 round land subarea to be planned to obtain the soil environment coincidence coefficient corresponding to each round land subarea to be planned.
The fruit tree type screening module is used for screening out various fruit trees which are correspondingly and adaptively planted in the to-be-planned garden subareas and marking the fruit trees as various fruit trees which are correspondingly and adaptively planted in the to-be-planned garden subareas.
The reference round screening module is used for analyzing the weather adaptation coefficients of the round subareas to be planned and the reference round according to the weather information of the round subareas to be planned and the reference round, which is stored by the cloud storage platform, so as to screen out the target reference round corresponding to the round subareas to be planned, wherein the weather 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 fruit tree corresponding to each garden subarea to be planned.
The fruit tree planting income analysis module is used for analyzing the yield corresponding to each adaptive planting type fruit tree in each to-be-planned round subzone according to the soil temperature, the soil water content and the climate information of each to-be-planned round subzone, further analyzing the income corresponding to each adaptive planting type fruit tree in each to-be-planned round subzone, and screening out the optimal planting type fruit tree corresponding to the target to-be-planned round subzone.
The cloud storage platform is used for storing climate information corresponding to each to-be-planned garden subarea and climate information corresponding to each reference garden, storing planting types of fruit trees, single fruit tree average planting areas, single fruit tree average production weight and single fruit tree average income of each reference garden, and storing soil environment coincidence coefficient ranges 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 to-be-planned garden.
Optionally, the analyzing the soil environment information corresponding to each garden subarea to be planned includes the following specific analysis process: substituting the soil temperature, the soil water content, the soil organic matter content and the trace element concentration corresponding to each garden region to be planned into a calculation formulaObtaining the soil environment coincidence coefficient corresponding to each garden subarea to be planned>Wherein T is i 、W i 、Y i 、C i Respectively representing soil temperature, soil water content, soil organic matter content and trace element concentration corresponding to the ith garden region to be planned, wherein T ', W', Y 'and C' are respectively set referencesSoil temperature, reference soil moisture content, reference soil organic matter content, reference trace element concentration, ε 1 、ε 2 、ε 3 、ε 4 And respectively setting weight factors corresponding to soil temperature, soil water content, soil organic matter content and trace element concentration, wherein i represents the number corresponding to each garden region to be planned, and i=1, 2.
Optionally, the screening out each garden subarea to be planned corresponds to the variety fruit tree that adaptation was planted, and the specific screening process is as follows: and comparing the soil environment coincidence coefficient corresponding to each to-be-planned round sub-area with the soil environment coincidence coefficient range corresponding to each type of fruit trees stored in the cloud storage platform, and judging that the to-be-planned round sub-area is suitable for planting the type of fruit trees if the soil environment coincidence coefficient corresponding to a certain to-be-planned round sub-area is within the soil environment coincidence coefficient range corresponding to a certain type of fruit trees, so that the type of fruit trees corresponding to the to-be-planned round sub-area and suitable for planting are screened out.
Optionally, the analyzing the climate adaptation coefficients corresponding to each garden subarea to be planned and each reference garden comprises the following specific analysis processes: substituting the illumination intensity, the air temperature and the precipitation amount corresponding to each garden area sub-area to be planned and each reference garden area into a calculation formulaObtaining climate adaptation coefficients of each garden subarea to be planned and each reference garden>Wherein G is i 、F i 、R i Respectively representing the illumination intensity, the air temperature and the precipitation amount corresponding to the ith garden subarea to be planned, G j 、F j 、R j Respectively representing the illumination intensity, the air temperature and the precipitation amount corresponding to the jth reference garden, wherein the delta G, the delta F and the delta R are respectively set allowable illumination intensity difference, allowable air temperature difference and allowable precipitation amount difference, and gamma 1 、γ 2 、γ 3 The j table is respectively the weight factors corresponding to the set illumination intensity, air temperature and precipitationThe numbers corresponding to each reference land are shown, j=1, 2.
Optionally, the screening out each target reference garden corresponding to each garden subarea to be planned includes the following steps: comparing the climate adaptation coefficients corresponding to the round subareas to be planned and the reference round subareas with the set standard climate adaptation coefficients, if the climate adaptation coefficient corresponding to a certain round subarea to be planned and a certain reference round is larger than or equal to the set standard climate adaptation coefficient, judging that the climate of the round subareas to be planned is the same as that of the reference round, taking the reference round as a target reference round corresponding to the round subarea to be planned, and screening out each target reference round corresponding to the round subareas to be planned in the mode.
Optionally, the analyzing the number of the planted fruit trees of each adapted planting fruit tree corresponding to each to-be-planned garden subarea specifically includes the following steps: and extracting the numbers of the target reference fields corresponding to the garden field subareas to be planned, and further extracting the planting variety fruit trees of the target reference fields corresponding to the garden field subareas to be planned from the cloud storage platform.
Matching and comparing each adaptive planting type fruit tree corresponding to each to-be-planned round sub-area with the planting type fruit tree of each corresponding target reference round, and if the adaptive planting type fruit tree corresponding to a certain to-be-planned round sub-area is the same as the planting type fruit tree of a certain target reference round corresponding to the to-be-planned round sub-area, taking the single fruit tree average planting area, single fruit tree average production weight and single fruit tree average income corresponding to the target reference round in the to-be-planned round sub-area as the single fruit tree reference planting area, single fruit tree reference production weight and single fruit tree reference income corresponding to the adaptive planting type fruit tree in the to-be-planned round sub-area, so as to obtain the single fruit tree reference planting area, single fruit tree reference production weight and single fruit tree reference income corresponding to each adaptive planting type fruit tree in the to-be-planned round sub-area.
Based on the corresponding area of each round-land subarea to be planned and each adaptive seed planting type in each round-land subarea to be plannedCalculating the reference planting area of a single fruit tree corresponding to the fruit tree to obtain the number of the planted fruit trees corresponding to the adaptive planting fruit trees in each to-be-planned garden area region, and marking asWherein u represents the number corresponding to each adapted seed tree, u=1, 2.
Optionally, the analyzing the yield corresponding to each adaptive planting fruit tree in each to-be-planned land subarea specifically includes the following steps: substituting the soil temperature, soil water content, illumination intensity, air temperature and precipitation of each garden area to be planned into a formulaObtaining the production influence coefficient delta corresponding to each round-land subarea to be planned i Wherein T is a 、W a 、G a 、F a 、R a Respectively set production standard soil temperature, standard soil water content, standard illumination intensity, standard air temperature and standard precipitation amount, delta T 1 、ΔW 1 Respectively set production reference soil temperature and reference soil water content mu 1 、μ 2 、μ 3 、μ 4 、μ 5 Respectively set coefficient factors corresponding to soil temperature, soil water content, illumination intensity, air temperature and precipitation.
Production influence coefficients delta corresponding to each round-land subarea to be planned i Substituting the reference production weight of each single fruit tree corresponding to each adaptive planting fruit tree in each to-be-planned garden area into a calculation formulaObtaining the yield of the single fruit tree corresponding to each adaptive planting type fruit tree in each to-be-planned garden area>Wherein (1)>And (3) representing the reference production weight of a single fruit tree corresponding to the ith adaptive planting fruit tree in the ith garden subarea to be planned, wherein sigma is a set yield correction factor.
Optionally, the analyzing the income corresponding to each adaptive planting type fruit tree in each to-be-planned land subarea specifically includes the following steps: yield of single fruit tree corresponding to each adaptive planting fruit tree in each to-be-planned garden areaThe number of the planted fruit trees corresponding to the adaptive planting fruit trees in the area of each garden to be planned is +.>Substituting single fruit tree reference income of each adaptive planting type fruit tree into a calculation formula corresponding to each garden subarea to be plannedObtaining the corresponding benefits of each adaptive planting type fruit tree in each to-be-planned garden areaWherein (1)>And representing the reference income of a single fruit tree corresponding to the fruit tree of the ith adaptive planting type in the ith to-be-planned garden area, wherein τ is a set income correction factor.
Optionally, the screening out the best planting type fruit tree corresponding to the garden to be planned specifically includes the following steps: and sequencing the benefits of the adaptive planting fruit trees corresponding to the garden subareas to be planned according to the sequence from big to small, extracting the adaptive planting fruit tree corresponding to the maximum benefits corresponding to the garden subareas to be planned, taking the adaptive planting fruit tree as the target planting fruit tree corresponding to the garden subareas to be planned, comparing the target planting fruit trees corresponding to the garden subareas to be planned, and selecting the most target planting fruit tree as the best planting fruit tree corresponding to the target garden to be planned.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the machine vision-based land space planning data acquisition and analysis system, the target land to be planned is subjected to regional division, the soil environment information of each land subregion to be planned is analyzed, the types of the adaptive planting fruit trees corresponding to each land subregion to be planned are screened out, meanwhile, the reference land corresponding to each land subregion to be planned is screened out according to the climate information corresponding to each land subregion to be planned, the planting quantity and the yield corresponding to each adaptive planting fruit tree in each land subregion to be planned are analyzed, and the income of each adaptive planting fruit tree in each land subregion to be planned is analyzed, so that the problem that the current technology is fuzzy and rough in the income analysis of the planting fruit trees in the land is solved, the intelligent and automatic analysis of the selection of the planting fruit trees in the land is realized, the scientificity of the selection of the planting fruit trees in the land is guaranteed, the income of the planting fruit trees in the land is effectively guaranteed, and the production effect of the land is greatly improved.
2. According to the invention, the soil environment information of each garden subarea 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 reliability of the soil environment information analysis result are effectively ensured, a basis is provided for screening of the fruit tree types of subsequent garden adaptation, and the authenticity of the fruit tree adaptation screening result of the garden adaptation is also ensured.
3. According to the invention, the reference fields corresponding to the to-be-planned round sub-areas are screened according to the climate information of the to-be-planned round sub-areas in the reference field screening module, so that a mat is arranged for analyzing the planting quantity and the yield of the fruit trees in the subsequent round, the accuracy of the fruit tree planting quantity and the yield analysis result is effectively ensured, the scientificity and the accuracy of the fruit tree planting income analysis result are effectively ensured, the reference is provided for selecting the fruit tree types planted in the subsequent round, and the income of the fruit tree planting in the subsequent round is also greatly ensured to a certain extent.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a system module connection structure according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a system for collecting and analyzing homeland space planning data based on machine vision includes: the system comprises a garden area dividing 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 income analysis module, a cloud storage platform and a display terminal.
The system comprises a soil environment information acquisition module, a garden area division module, a cloud storage platform, a fruit tree planting quantity analysis module, a fruit tree planting income analysis module, a display terminal and a display terminal, wherein the soil environment information acquisition module is respectively connected with the garden area division module and the soil environment information analysis module, the cloud storage platform is respectively connected with the reference garden screening module, the fruit tree planting quantity analysis module and the fruit tree planting income analysis module, the fruit tree type screening module is also connected with the soil environment information analysis and the reference garden screening module, the fruit tree planting quantity analysis module is also connected with the reference garden screening module and the fruit tree planting income analysis module, and the fruit tree planting income analysis module is also connected with the display terminal.
The round area dividing module is used for acquiring images of the target round area to be planned through the cameras carried by the unmanned aerial vehicle, dividing the target round area to be planned into round area sub-areas to be planned according to grids, and acquiring the areas corresponding to the round area sub-areas to be planned.
The soil environment information acquisition module is used for acquiring soil environment information in each to-be-planned land area, wherein the soil environment information comprises soil temperature, soil water content, soil organic matter content and trace element concentration.
In a specific embodiment, soil environment information in each of the areas of the garden to be planned is collected, and a specific collection process is as follows. And acquiring the soil temperature in each garden region to be planned through a temperature sensor to obtain the soil temperature corresponding to each garden region to be planned.
And acquiring the soil water content in each garden region to be planned through a soil water content monitor to obtain the soil water content corresponding to each garden region to be planned.
And acquiring the soil organic matter content in each regional area of the garden to be planned through a soil organic matter tester, so as to obtain the soil organic matter content corresponding to each regional area of the garden to be planned.
And acquiring the trace element concentration in each garden region to be planned through a soil trace element detector to obtain the trace element concentration corresponding to each garden region to be planned.
The soil organic matters not only can provide nutrition for the growth of fruit trees and increase the effectiveness of the nutrition, keep water and fertilizer and buffer the buffer capacity of the soil to acid and alkali, but also can promote the formation of soil aggregate structures, improve the physical properties of the soil and the like, so that the soil organic matters in each regional area of the to-be-planned land need to be collected.
It should be further noted that trace elements include, but are not limited to, iron, boron, manganese, copper and zinc, and trace elements affect the growth, yield and quality of fruit trees, so that the concentration of trace elements in each of the areas of the land to be planned needs to be collected.
According to the embodiment of the invention, the soil environment information of each garden sub-area to be planned is acquired, so that a foundation is laid for subsequent soil environment analysis, the accuracy and reliability of the soil environment information analysis result are effectively ensured, a basis is provided for screening of the fruit tree types of subsequent garden adaptation, and the authenticity of the fruit tree type adaptation screening result of the garden adaptation is also ensured.
The soil environment information analysis module is used for analyzing the soil environment information corresponding to each round land subarea to be planned to obtain the soil environment coincidence coefficient corresponding to each round land subarea 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 region to be planned into a calculation formulaObtaining the soil environment coincidence coefficient corresponding to each garden subarea to be planned>Wherein T is i 、W i 、Y i 、C i Respectively representing soil temperature, soil water content, soil organic matter content and trace element concentration corresponding to the ith garden region to be planned, wherein T ', W', Y ', 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 respectively setting weight factors corresponding to soil temperature, soil water content, soil organic matter content and trace element concentration, wherein i represents the number corresponding to each garden region 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 the to-be-planned round subzones and marking the fruit trees as various adaptive planting fruit trees which are correspondingly and adaptively planted in the to-be-planned round subzones;
in a specific embodiment, the variety of fruit trees corresponding to and suitable for planting in each garden sub-area to be planned are screened out, and the specific screening process is as follows: and comparing the soil environment coincidence coefficient corresponding to each to-be-planned round sub-area with the soil environment coincidence coefficient range corresponding to each type of fruit trees stored in the cloud storage platform, and judging that the to-be-planned round sub-area is suitable for planting the type of fruit trees if the soil environment coincidence coefficient corresponding to a certain to-be-planned round sub-area is within the soil environment coincidence coefficient range corresponding to a certain type of fruit trees, so that the type of fruit trees corresponding to the to-be-planned round sub-area and suitable for planting are screened out.
The fruit tree species include, but are not limited to, apple tree, pear tree, hawthorn tree, papaya tree, peach tree, plum tree, cherry tree, kiwi tree, pomegranate tree, and grape tree.
The reference round screening module is used for analyzing the weather adaptation coefficients of the round subareas to be planned and the reference round according to the weather information of the round subareas to be planned and the reference round, which is stored by the cloud storage platform, so as to screen out the target reference round corresponding to the round subareas to be planned, wherein the weather information comprises illumination intensity, air temperature and precipitation.
In a specific embodiment, the climate adaptation coefficients corresponding to each garden sub-area to be planned and each reference garden are analyzed, and the specific analysis process is as follows: substituting the illumination intensity, the air temperature and the precipitation amount corresponding to each garden area sub-area to be planned and each reference garden area into a calculation formulaObtaining climate adaptation coefficients of each garden subarea to be planned and each reference garden>Wherein G is i 、F i 、R i Respectively represents the illumination intensity corresponding to the ith garden subarea to be planned,Air temperature, precipitation, G j 、F j 、R j Respectively representing the illumination intensity, the air temperature and the precipitation amount corresponding to the jth reference garden, wherein the delta G, the delta F and the delta R are respectively set allowable illumination intensity difference, allowable air temperature difference and allowable precipitation amount difference, and gamma 1 、γ 2 、γ 3 The weight factors corresponding to the set illumination intensity, air temperature, and precipitation amount are respectively represented by j, which represents the number corresponding to each reference garden, j=1, 2.
The illumination intensity, air temperature and precipitation amount of the garden are respectively the average illumination intensity, average air temperature and average precipitation amount of the garden for many years.
In another specific embodiment, each target reference garden corresponding to each garden sub-area to be planned is screened out, and the specific screening process is as follows: comparing the climate adaptation coefficients corresponding to the round subareas to be planned and the reference round subareas with the set standard climate adaptation coefficients, if the climate adaptation coefficient corresponding to a certain round subarea to be planned and a certain reference round is larger than or equal to the set standard climate adaptation coefficient, judging that the climate of the round subareas to be planned is the same as that of the reference round, taking the reference round as a target reference round corresponding to the round subarea to be planned, and screening out each target reference round corresponding to the round subareas to be planned in the mode.
According to the embodiment of the invention, the reference areas corresponding to the areas to be planned are screened according to the climate information of the areas to be planned, so that the laying is set for analyzing the planting quantity and the yield of the fruit trees in the subsequent areas, the accuracy of the analysis results of the fruit tree planting quantity and the yield is effectively ensured, the scientificity and the accuracy of the analysis results of the fruit tree planting yields are also effectively ensured, the reference is provided for the selection of the fruit tree types planted in the subsequent areas, and the fruit tree planting yields in the subsequent areas are 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 fruit tree corresponding to each garden subarea to be planned;
in a specific embodiment, the number of the planted fruit trees of each adaptive planting fruit tree corresponding to each garden subarea to be planned is analyzed, and the specific analysis process is as follows: and extracting the numbers of the target reference fields corresponding to the garden field subareas to be planned, and further extracting the planting variety fruit trees of the target reference fields corresponding to the garden field subareas to be planned from the cloud storage platform.
Matching and comparing each adaptive planting type fruit tree corresponding to each to-be-planned round sub-area with the planting type fruit tree of each corresponding target reference round, and if the adaptive planting type fruit tree corresponding to a certain to-be-planned round sub-area is the same as the planting type fruit tree of a certain target reference round corresponding to the to-be-planned round sub-area, taking the single fruit tree average planting area, single fruit tree average production weight and single fruit tree average income corresponding to the target reference round in the to-be-planned round sub-area as the single fruit tree reference planting area, single fruit tree reference production weight and single fruit tree reference income corresponding to the adaptive planting type fruit tree in the to-be-planned round sub-area, so as to obtain the single fruit tree reference planting area, single fruit tree reference production weight and single fruit tree reference income corresponding to each adaptive planting type fruit tree in the to-be-planned round sub-area.
Calculating the number of the planted fruit trees corresponding to the adaptive planting fruit trees in each to-be-planned round area based on the corresponding area of each to-be-planned round area sub-area and the reference planting area of the single fruit tree corresponding to the adaptive planting fruit tree in each to-be-planned round area sub-area, and marking asWherein u represents the number corresponding to each adapted seed tree, u=1, 2.
It should be noted that, the number of the planted fruit trees corresponding to each adapted planting fruit tree in each to-be-planned land subarea is calculated, and a specific calculation formula is as follows:wherein S is i Representing the ith round-land sub-area pair to be plannedThe area of the film to be applied,representing the reference planting area of a single fruit tree corresponding to the fruit tree of the ith adaptive planting type in the ith area of the garden to be planned.
The fruit tree planting income analysis module is used for analyzing the yield corresponding to each adaptive planting type fruit tree in each to-be-planned round subzone according to the soil temperature, the soil water content and the climate information of each to-be-planned round subzone, further analyzing the income corresponding to each adaptive planting type fruit tree in each to-be-planned round subzone, and screening out the optimal planting type fruit tree corresponding to the target to-be-planned round subzone.
In a specific embodiment, the yield corresponding to each suitable planting fruit tree in each area of the garden to be planned is analyzed, and the specific analysis process is as follows: substituting the soil temperature, soil water content, illumination intensity, air temperature and precipitation of each garden area to be planned into a formulaObtaining the production influence coefficient delta corresponding to each round-land subarea to be planned i Wherein T is a 、W a 、G a 、F a 、R a Respectively set production standard soil temperature, standard soil water content, standard illumination intensity, standard air temperature and standard precipitation amount, delta T 1 、ΔW 1 Respectively set production reference soil temperature and reference soil water content mu 1 、μ 2 、μ 3 、μ 4 、μ 5 Respectively set coefficient factors corresponding to soil temperature, soil water content, illumination intensity, air temperature and precipitation.
Production influence coefficients delta corresponding to each round-land subarea to be planned i Substituting the reference production weight of each single fruit tree corresponding to each adaptive planting fruit tree in each to-be-planned garden area into a calculation formulaIn the process, ,obtaining the yield of the single fruit tree corresponding to each adaptive planting type fruit tree in each area of the garden to be planned>Wherein (1)>And (3) representing the reference production weight of a single fruit tree corresponding to the ith adaptive planting fruit tree in the ith garden subarea to be planned, wherein sigma is a set yield correction factor.
In another specific embodiment, the benefits corresponding to each of the adaptive planting variety fruit trees in each of the areas of the garden to be planned are analyzed, and the specific analysis process is as follows: yield of single fruit tree corresponding to each adaptive planting fruit tree in each to-be-planned garden areaThe number of the planted fruit trees corresponding to the adaptive planting fruit trees in the area of each garden to be planned is +.>Substituting single fruit tree reference income of each adaptive planting type fruit tree into a calculation formula corresponding to each garden subarea to be plannedObtaining the corresponding benefits of each adaptive planting type fruit tree in each to-be-planned garden areaWherein (1)>And representing the reference income of a single fruit tree corresponding to the fruit tree of the ith adaptive planting type in the ith to-be-planned garden area, wherein τ is a set income correction factor.
In another specific embodiment, the best planting type fruit trees corresponding to the target to-be-planned land are screened out, and the specific screening process is as follows: and sequencing the benefits of the adaptive planting fruit trees corresponding to the garden subareas to be planned according to the sequence from big to small, extracting the adaptive planting fruit tree corresponding to the maximum benefits corresponding to the garden subareas to be planned, taking the adaptive planting fruit tree as the target planting fruit tree corresponding to the garden subareas to be planned, comparing the target planting fruit trees corresponding to the garden subareas to be planned, and selecting the most target planting fruit tree as the best planting fruit tree corresponding to the target garden to be planned.
According to the embodiment of the invention, the area division is carried out on the target round area to be planned, the soil environment information of each round area subarea to be planned is analyzed, the types of the adaptive planting fruit trees corresponding to each round area subarea to be planned are screened out, meanwhile, the reference round area corresponding to each round area subarea to be planned is screened out according to the climate information corresponding to each round area subarea to be planned, the planting quantity and the yield corresponding to each adaptive planting fruit tree in each round area subarea to be planned are analyzed, and the income of each adaptive planting fruit tree in each round area subarea to be planned is analyzed, so that the problem that the income analysis of the round fruit tree planting is fuzzy and rough in the prior art is solved, the intelligent and automatic analysis of the selection of the round planting fruit tree types is realized, the scientificity of the round planting fruit tree selection is ensured, the income of the round fruit tree planting is effectively ensured, and the production effect of the round is greatly increased.
The cloud storage platform is used for storing climate information corresponding to each to-be-planned garden subarea and climate information corresponding to each reference garden, storing the planting fruit tree types, the single fruit tree average planting area, the single fruit tree average production weight and the single fruit tree average income of each reference garden, and storing the soil environment coincidence 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 to-be-planned garden.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (7)
1. The utility model provides a territorial space planning data acquisition analysis system based on machine vision which characterized in that includes:
the round area dividing module is used for acquiring images of a target round area to be planned through a camera carried by the unmanned aerial vehicle, dividing the target round area to be planned into round area subareas to be planned according to grids, and acquiring areas corresponding to the round area subareas to be planned;
the soil environment information acquisition module is used for acquiring soil environment information in each to-be-planned land subarea, 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 round land subarea to be planned to obtain the soil environment coincidence coefficient corresponding to each round land subarea to be planned;
the soil environment information corresponding to each garden subarea 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 region to be planned into a calculation formulaObtaining the soil environment coincidence coefficient corresponding to each garden subarea to be planned>Wherein T is i 、W i 、Y i 、C i Respectively represent soil temperature, soil water content, soil organic matter content and trace element concentration corresponding to the ith garden region to be planned, T ', W', Y ', C'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 Respectively setting weight factors corresponding to soil temperature, soil water content, soil organic matter content and trace element concentration, wherein i represents a number corresponding to each garden subarea to be planned, i=1, 2.
The fruit tree type screening module is used for screening various fruit trees which are correspondingly and adaptively planted in the to-be-planned round subzones and marking the fruit trees as various adaptive planting fruit trees which are correspondingly and adaptively planted in the to-be-planned round subzones;
the method is characterized in that the variety fruit trees correspondingly and adaptively planted in each garden subarea to be planned are screened out, and the specific screening process is as follows:
comparing the soil environment coincidence coefficient corresponding to each to-be-planned round subzone with the soil environment coincidence coefficient range corresponding to each kind of fruit trees stored in the cloud storage platform, and if the soil environment coincidence coefficient corresponding to a certain to-be-planned round subzone is within the soil environment coincidence coefficient range corresponding to a certain kind of fruit trees, judging that the to-be-planned round subzone is suitable for planting the kind of fruit trees, and screening out the kind of fruit trees correspondingly suitable for planting of each to-be-planned round subzone in this way;
the reference round screening module is used for analyzing the weather adaptation coefficients of the round subareas to be planned and the reference round according to the weather information of the round subareas to be planned and the reference round, which is stored in the cloud storage platform, so as to screen out each target reference round corresponding to the round subareas to be planned, wherein the weather 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 fruit tree corresponding to each garden subarea to be planned;
the fruit tree planting income analysis module is used for analyzing the yield corresponding to each adaptive planting type fruit tree in each to-be-planned round subzone according to the soil temperature, the soil water content and the climate information of each to-be-planned round subzone, further analyzing the income corresponding to each adaptive planting type fruit tree in each to-be-planned round subzone, and screening out the optimal planting type fruit tree corresponding to the target to-be-planned round subzone;
the cloud storage platform is used for storing climate information corresponding to each to-be-planned garden subarea and climate information corresponding to each reference garden, storing planting type fruit trees, single fruit tree average planting area, single fruit tree average production weight and single fruit tree average income of each reference garden, and storing soil environment coincidence coefficient ranges 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 to-be-planned garden.
2. The machine vision-based homeland space planning data collection and analysis system as set forth in claim 1, wherein: the climate adaptation coefficients corresponding to each garden zone to be planned and each reference garden zone are analyzed, and the specific analysis process is as follows:
substituting the illumination intensity, the air temperature and the precipitation amount corresponding to each garden area sub-area to be planned and each reference garden area into a calculation formulaObtaining climate adaptation coefficients of each garden subarea to be planned and each reference garden>Wherein G is i 、F i 、R i Respectively representing the illumination intensity, the air temperature and the precipitation amount corresponding to the ith garden subarea to be planned, G j 、F j 、R j Respectively representing the illumination intensity, the air temperature and the precipitation amount corresponding to the jth reference garden, wherein the delta G, the delta F and the delta R are respectively set allowable illumination intensity difference, allowable air temperature difference and allowable precipitation amount difference, and gamma 1 、γ 2 、γ 3 The weight factors corresponding to the set illumination intensity, air temperature, and precipitation amount are respectively represented by j, which represents the number corresponding to each reference garden, j=1, 2.
3. The machine vision-based homeland space planning data collection and analysis system as set forth in claim 2, wherein: the specific screening process of screening out each target reference garden corresponding to each garden subarea to be planned is as follows:
comparing the climate adaptation coefficients corresponding to the round subareas to be planned and the reference round subareas with the set standard climate adaptation coefficients, if the climate adaptation coefficient corresponding to a certain round subarea to be planned and a certain reference round is larger than or equal to the set standard climate adaptation coefficient, judging that the climate of the round subareas to be planned is the same as that of the reference round, taking the reference round as a target reference round corresponding to the round subarea to be planned, and screening out each target reference round corresponding to the round subareas to be planned in the mode.
4. A machine vision based homeland space planning data collection analysis system as set forth in claim 3, wherein: the number of the planted fruit trees corresponding to each adaptive planting fruit tree in each garden area to be planned is analyzed, and the specific analysis process is as follows:
extracting the numbers of the target reference fields corresponding to the garden field subregions to be planned, and further extracting the planting variety fruit trees of the target reference fields corresponding to the garden field subregions to be planned from the cloud storage platform;
matching and comparing each adaptive planting type fruit tree corresponding to each to-be-planned round sub-area with the planting type fruit tree of each corresponding target reference round, and if the planting type fruit tree of each adaptive planting type fruit tree corresponding to a certain to-be-planned round sub-area is the same as the planting type fruit tree of a certain target reference round corresponding to the to-be-planned round sub-area, taking the single fruit tree average planting area, the single fruit tree average production weight and the single fruit tree average income corresponding to the target reference round in the to-be-planned round sub-area as the single fruit tree reference planting area, the single fruit tree reference production weight and the single fruit tree reference income corresponding to the adaptive planting type fruit tree in the to-be-planned round sub-area respectively, so as to obtain the single fruit tree reference planting area, the single fruit tree reference production weight and the single fruit tree reference income corresponding to the adaptive planting type fruit tree in the to-be-planned round sub-area;
calculating the number of the planted fruit trees corresponding to the adaptive planting fruit trees in each to-be-planned round area based on the corresponding area of each to-be-planned round area sub-area and the reference planting area of the single fruit tree corresponding to the adaptive planting fruit tree in each to-be-planned round area sub-area, and marking as N i u Wherein u represents the number corresponding to each adapted seed tree, u=1, 2.
5. The machine vision-based homeland space planning data collection and analysis system as set forth in claim 4, wherein: the yield corresponding to each adaptive planting fruit tree in each area of the garden to be planned is analyzed, and the specific analysis process is as follows:
substituting the soil temperature, soil water content, illumination intensity, air temperature and precipitation of each garden area to be planned into a formulaObtaining the production influence coefficient delta corresponding to each round-land subarea to be planned i Wherein T is a 、W a 、G a 、F a 、R a Respectively set production standard soil temperature, standard soil water content, standard illumination intensity, standard air temperature and standard precipitation amount, delta T 1 、ΔW 1 Respectively set production reference soil temperature and reference soil water content mu 1 、μ 2 、μ 3 、μ 4 、μ 5 Respectively setting coefficient factors corresponding to soil temperature, soil water content, illumination intensity, air temperature and precipitation;
production influence coefficients delta corresponding to each round-land subarea to be planned i Substituting the reference production weight of each single fruit tree corresponding to each adaptive planting fruit tree in each to-be-planned garden area into a calculation formulaObtaining the yield of the single fruit tree corresponding to each adaptive planting type fruit tree in each to-be-planned garden area>Wherein (1)>And (3) representing the reference production weight of a single fruit tree corresponding to the ith adaptive planting fruit tree in the ith garden subarea to be planned, wherein sigma is a set yield correction factor.
6. The machine vision-based homeland space planning data collection and analysis system as set forth in claim 5, wherein: the method is characterized in that the corresponding benefits of each adaptive planting type fruit tree in each to-be-planned garden area are analyzed, and the specific analysis process is as follows:
yield of single fruit tree corresponding to each adaptive planting fruit tree in each to-be-planned garden areaThe number of the planted fruit trees corresponding to the adaptive planting fruit trees in the area of each garden to be planned is +.>Substituting a single fruit tree reference income substitution calculation formula of each adaptive planting type fruit tree corresponding to each garden subarea to be planned>Obtaining the income +.f corresponding to each fruit tree of the adaptive planting variety in each area of the garden to be planned>Wherein (1)>And representing the reference income of a single fruit tree corresponding to the fruit tree of the ith adaptive planting type in the ith to-be-planned garden area, wherein τ is a set income correction factor.
7. The machine vision-based homeland space planning data collection and analysis system as set forth in claim 6, wherein: the method comprises the steps of screening out the best planting type fruit trees corresponding to the target to-be-planned garden, wherein the specific screening process is as follows:
and sorting the gains of the adaptive planting fruit trees corresponding to the garden subareas to be planned according to the sequence from big to small, extracting the adaptive planting fruit tree corresponding to the maximum gain of the garden subareas to be planned, taking the adaptive planting fruit tree as the target planting fruit tree corresponding to the garden subareas to be planned, comparing the target planting fruit trees corresponding to the garden subareas to be planned, and selecting the most target planting fruit tree as the best planting fruit tree corresponding to the target garden to be planned.
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