Analysis and diagnosis method and system for soil nutrient measurement
The method and system optimize soil nutrient analysis by dividing large areas into sub-regions, selecting sample points, and calculating nutrient data for efficient fertilization adjustments, addressing the inefficiencies of existing large-area measurement methods.
Patent Information
- Application Number
- CN202411318318.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-20
- Publication Date
- 2024-12-20
AI Technical Summary
Existing methods for detailed soil nutrient measurement and analysis are labor-intensive and costly for large planting areas, requiring numerous sampling points, making them time-consuming and impractical.
A method and system that divides a planting area into healthy and problem sub-areas, selects sample points, calculates average nutrient data, and performs diagnostic comparisons to facilitate fertilization adjustments, using image analysis and nutrient data processing to optimize soil nutrient management.
Enables detailed, accurate, and cost-effective soil nutrient measurement and analysis in large areas by dividing the area into sub-regions, selecting strategic sample points, and calculating average nutrient data for targeted fertilization adjustments.
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Figure CN119165141A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of soil nutrient measurement, and in particular relates to an analysis and diagnosis method and system for soil nutrient measurement. Background Art
[0002] Soil nutrient measurement is an important part of agricultural management and soil health management. It is the process of quantifying the content of various plant essential nutrients in the soil, which are crucial for plant growth.
[0003] The purpose of soil nutrient measurement is to assess soil fertility levels, guide fertilization management strategies, ensure that crops have adequate nutrient supply, and reduce environmental pollution caused by excessive fertilization.
[0004] In the prior art, detailed, accurate and convenient soil nutrient measurement and analysis diagnosis are usually only applicable to small planting areas. For large planting areas, only rough soil nutrient measurement and analysis diagnosis can be performed. If detailed soil nutrient measurement and analysis diagnosis is required, a large number of sampling points need to be selected for sampling and analysis, which is time-consuming, labor-intensive and costly. Summary of the invention
[0005] The purpose of the embodiments of the present invention is to provide a soil nutrient measurement analysis and diagnosis method and system, aiming to solve the technical problems existing in the prior art mentioned in the background technology.
[0006] The embodiment of the present invention is implemented as follows:
[0007] A soil nutrient measurement analysis and diagnosis method, the method specifically comprises the following steps:
[0008] Photographing the target planting area, acquiring the photographed images of the area, performing clustered planting status analysis, and dividing the target planting area into a healthy planting sub-area and a plurality of problem planting sub-areas;
[0009] Selecting a plurality of healthy soil sample points from the healthy planting sub-area, obtaining healthy sample point nutrient data of the plurality of healthy soil sample points, and calculating average healthy nutrient data;
[0010] Determining problematic soil nutrients corresponding to a plurality of problematic planting sub-areas;
[0011] Selecting a plurality of actual problem sample points from the plurality of problematic planting sub-areas, and obtaining nutrient data of the plurality of actual sample points according to the plurality of corresponding problematic soil nutrients;
[0012] According to the multiple actual problem sample points, multiple extended problem sample points are selected, the extended sample point nutrient data of the multiple extended problem sample points are calculated, and the average problem nutrient data of the multiple problem planting sub-areas are calculated;
[0013] Based on the average healthy nutrient data, a plurality of the average problematic nutrient data are diagnosed and compared, a diagnosis and comparison result is obtained, and a corresponding fertilization adjustment plan is made.
[0014] As a further limitation of the technical solution of the embodiment of the present invention, the photographing of the target planting area, obtaining the photographed image of the area, performing the clustered planting state analysis, and dividing the target planting area into a healthy planting sub-area and a plurality of problem planting sub-areas specifically include the following steps:
[0015] Determine the target planting area, perform periodic regional photography, and obtain regional photography images;
[0016] Performing feature aggregation analysis on the images captured in the area and recording a plurality of feature aggregation data;
[0017] According to preset standard feature data, matching analysis is performed on the plurality of feature clustering data to determine a plurality of feature clustering boundaries;
[0018] According to the plurality of feature clustering boundaries, the target planting area is divided into a healthy planting sub-area and a plurality of problem planting sub-areas.
[0019] As a further limitation of the technical solution of the embodiment of the present invention, the selecting of multiple healthy soil sample points from the healthy planting sub-area, obtaining the healthy sample point nutrient data of the multiple healthy soil sample points, and calculating the average healthy nutrient data specifically include the following steps:
[0020] Selecting a plurality of healthy soil sample points from the healthy planting sub-areas;
[0021] Performing a comprehensive soil nutrient measurement plan for a plurality of healthy soil sample points to obtain nutrient data for the plurality of healthy soil sample points;
[0022] The nutrient data of the plurality of healthy sample points are averaged to calculate the average healthy nutrient data of the healthy planting sub-area.
[0023] As a further limitation of the technical solution of the embodiment of the present invention, the determining of problematic soil nutrients corresponding to the plurality of problematic planting sub-regions specifically includes the following steps:
[0024] Selecting problem feature data corresponding to a plurality of problem planting sub-areas from a plurality of the feature aggregation data;
[0025] Based on the standard characteristic data, nutrient problem analysis is performed on the plurality of problem characteristic data to determine a plurality of corresponding problem soil nutrients.
[0026] As a further limitation of the technical solution of the embodiment of the present invention, the step of selecting a plurality of actual problem sample points from the plurality of problem planting seed areas, and obtaining the nutrient data of the plurality of actual sample points according to the plurality of corresponding problem soil nutrients specifically includes the following steps:
[0027] Selecting a plurality of actual problem sample points from the plurality of problem planting sub-areas;
[0028] Record the sample point nutrient relationship between multiple actual problem sample points and multiple problem soil nutrients;
[0029] According to the sample point nutrient relationship, a single soil nutrient measurement plan is performed on the plurality of actual problem sample points to obtain nutrient data of the plurality of actual sample points.
[0030] As a further limitation of the technical solution of the embodiment of the present invention, the method of selecting multiple extended problem sample points according to multiple actual problem sample points, calculating the extended sample point nutrient data of the multiple extended problem sample points, and calculating the average problem nutrient data of multiple problem planting sub-areas specifically includes the following steps:
[0031] Get the expansion planning density;
[0032] According to the expansion planning density, in the plurality of the problem planting sub-areas, based on the corresponding plurality of actual problem sample points, a plurality of expansion problem sample points are selected;
[0033] Obtaining sample point distances between a plurality of extended problem sample points and a plurality of actual problem sample points;
[0034] According to the plurality of sample point distances and the plurality of actual sample point nutrient data, calculating the extended sample point nutrient data of the plurality of corresponding extended problem sample points;
[0035] The nutrient data of the corresponding multiple extended sample points in the multiple problem planting sub-areas and the multiple actual problem sample points are averaged to calculate the average problem nutrient data of the multiple problem planting sub-areas.
[0036] As a further limitation of the technical solution of the embodiment of the present invention, the calculation formula for calculating the extended sample point nutrient data of multiple corresponding extended problem sample points according to the multiple sample point distances and the multiple actual sample point nutrient data is:
[0037]
[0038] Among them, i represents the i-th extended problem sample point, j represents the j-th actual problem sample point, and N iis the nutrient data of the extended sample point of the i-th extended problem sample point, N j is the actual sample nutrient data of the jth actual problem sample point, d ij is the sample point distance between the i-th extended problem sample point and the j-th actual problem sample point, and k is the preset influence parameter.
[0039] As a further limitation of the technical solution of the embodiment of the present invention, the method of performing diagnostic comparison on the plurality of average problem nutrient data based on the average healthy nutrient data, obtaining the diagnostic comparison result, and performing corresponding fertilization adjustment planning specifically includes the following steps:
[0040] Based on the average healthy nutrient data, a plurality of the average problematic nutrient data are diagnosed and compared to obtain a diagnosis comparison result;
[0041] According to the diagnosis and comparison results, planning fertilization adjustment strategies for the plurality of problematic planting sub-areas;
[0042] According to the plurality of fertilization adjustment strategies, fertilization is adjusted for the plurality of problematic planting sub-areas.
[0043] A soil nutrient measurement analysis and diagnosis system, the system includes a planting area division module, a healthy nutrient analysis module, a problem nutrient determination module, a problem nutrient analysis module, a problem expansion processing module and a diagnosis comparison processing module, wherein:
[0044] A planting area division module is used to shoot the target planting area, obtain the regional shooting image, perform clustered planting status analysis, and divide the target planting area into a healthy planting sub-area and a plurality of problem planting sub-areas;
[0045] A health nutrient analysis module, used to select a plurality of healthy soil sample points from the healthy planting sub-area, obtain the health sample point nutrient data of the plurality of healthy soil sample points, and calculate the average health nutrient data;
[0046] A problem nutrient determination module, used to determine the problem soil nutrients corresponding to the plurality of problem planting sub-areas;
[0047] A problem nutrient analysis module is used to select a plurality of actual problem sample points from the plurality of problem planting sub-areas, and obtain nutrient data of the plurality of actual sample points according to the plurality of corresponding problem soil nutrients;
[0048] A problem expansion processing module is used to select multiple extended problem sample points according to multiple actual problem sample points, calculate the extended sample point nutrient data of the multiple extended problem sample points, and calculate the average problem nutrient data of multiple problem planting sub-areas;
[0049] The diagnosis comparison processing module is used to perform diagnosis comparison on the plurality of average problem nutrient data based on the average healthy nutrient data, obtain the diagnosis comparison result, and make corresponding fertilization adjustment plan.
[0050] As a further limitation of the technical solution of the embodiment of the present invention, the planting area division module specifically includes:
[0051] A regional shooting unit is used to determine the target planting area, perform periodic regional shooting, and obtain regional shooting images;
[0052] A feature aggregation analysis unit, used to perform feature aggregation analysis on the image captured in the area and record a plurality of feature aggregation data;
[0053] A boundary determination unit, used to perform matching analysis on the plurality of feature clustering data according to preset standard feature data, and determine a plurality of feature clustering boundaries;
[0054] The area division unit is used to divide the target planting area into a healthy planting sub-area and a plurality of problem planting sub-areas according to the plurality of feature aggregation boundaries.
[0055] Compared with the prior art, the present invention has the following beneficial effects:
[0056] The embodiment of the present invention divides the target planting area into healthy planting sub-areas and multiple problem planting sub-areas; selects multiple healthy soil sample points to calculate the average healthy nutrient data; selects multiple actual problem sample points to obtain multiple actual sample point nutrient data; calculates multiple extended sample point nutrient data, and calculates the average problem nutrient data of multiple problem planting sub-areas; obtains the diagnosis comparison result, and performs fertilization adjustment planning. The target planting area can be divided into healthy planting sub-areas and multiple problem planting sub-areas, multiple actual sample point nutrient data can be obtained, and the problem sample points can be expanded, multiple extended sample point nutrient data can be calculated, and multiple average problem nutrient data can be calculated, and diagnosis comparison and fertilization adjustment planning can be performed, thereby realizing detailed, accurate, convenient, and low-cost soil nutrient measurement analysis and diagnosis in large-scale planting areas. BRIEF DESCRIPTION OF THE DRAWINGS
[0057] Figure 1 A flow chart of an analytical and diagnostic method for soil nutrient measurement provided by an embodiment of the present invention is shown;
[0058] Figure 2 A flow chart showing the division of target planting areas in the method provided by an embodiment of the present invention is shown;
[0059] Figure 3 A flow chart of calculating average health nutrient data in the method provided by an embodiment of the present invention is shown;
[0060] Figure 4A flow chart of determining problematic soil nutrients in the method provided by an embodiment of the present invention is shown;
[0061] Figure 5 A flow chart of obtaining nutrient data of multiple actual sample points in the method provided by an embodiment of the present invention is shown;
[0062] Figure 6 A flow chart of calculating average problematic nutrient data in the method provided by an embodiment of the present invention is shown;
[0063] Figure 7 A flowchart showing diagnosis comparison and fertilization adjustment planning in the method provided by an embodiment of the present invention is shown;
[0064] Figure 8 The application architecture diagram of the soil nutrient measurement analysis and diagnosis system provided by the embodiment of the present invention is shown;
[0065] Fig. 9 A structural block diagram of a planting area division module in a system provided in an embodiment of the present invention is shown. DETAILED DESCRIPTION
[0066] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.
[0067] It is understandable that in the prior art, detailed, accurate and convenient soil nutrient measurement and analysis diagnosis are usually only applicable to small planting areas, while for large planting areas, only rough soil nutrient measurement and analysis diagnosis can be performed. If detailed soil nutrient measurement and analysis diagnosis is required, a large number of sampling points need to be selected for sampling and analysis, which is time-consuming, labor-intensive and costly.
[0068] To solve the above problems, an analysis and diagnosis method and system for soil nutrient measurement disclosed in an embodiment of the present invention photographs a target planting area, obtains the photographed image of the area, performs clustered planting status analysis, and divides the target planting area into a healthy planting sub-area and a plurality of problem planting sub-areas; selects a plurality of healthy soil sample points from the healthy planting sub-areas, obtains the healthy sample point nutrient data of the plurality of healthy soil sample points, and calculates the average healthy nutrient data; determines the problem soil nutrients corresponding to the plurality of problem planting sub-areas; selects a plurality of actual problem sample points from the plurality of problem planting sub-areas, and obtains the plurality of actual sample point nutrient data according to the plurality of corresponding problem soil nutrients; selects a plurality of extended problem sample points according to the plurality of actual problem sample points, calculates the extended sample point nutrient data of the plurality of extended problem sample points, and calculates the average problem nutrient data of the plurality of problem planting sub-areas; performs a diagnosis comparison on the plurality of average problem nutrient data based on the average healthy nutrient data, obtains the diagnosis comparison result, and performs corresponding fertilization adjustment planning. It can divide the target planting area into healthy planting sub-areas and multiple problem planting sub-areas, obtain nutrient data of multiple actual sample points, expand the problem sample points, calculate nutrient data of multiple expanded sample points, and then calculate multiple average problem nutrient data, conduct diagnostic comparison and fertilization adjustment planning, thereby realizing detailed, accurate, convenient and low-cost soil nutrient measurement and analysis diagnosis of large-scale planting areas.
[0069] Specifically, Figure 1 A flow chart of an analytical and diagnostic method for soil nutrient measurement provided by an embodiment of the present invention is shown.
[0070] In a preferred embodiment of the present invention, a soil nutrient measurement analysis and diagnosis method comprises the following steps:
[0071] Step S101: photograph a target planting area, obtain a photographed image of the area, perform a clustered planting status analysis, and divide the target planting area into a healthy planting sub-area and a plurality of problem planting sub-areas.
[0072] In an embodiment of the present invention, by determining the target planting area, periodically photographing the target planting area according to a preset analysis and diagnosis cycle, obtaining the regional photographed images, and then performing feature clustering analysis on the regional photographed images, recording multiple feature clustering data including features such as color and texture and the regional position of feature clusters, and then performing matching analysis on the multiple feature clustering data according to preset standard feature data to determine the feature clustering boundaries of multiple clustering feature changes, and then dividing the target planting area into healthy planting sub-areas and multiple problem planting sub-areas according to the standard feature data and the multiple feature clustering boundaries, wherein the color, texture and other features in the feature clustering data corresponding to the healthy planting sub-areas meet the color, texture and other features of healthy plants specified in the standard feature data.
[0073] Specifically, Figure 2 A flow chart of dividing a target planting area in the method provided in an embodiment of the present invention is shown.
[0074] Among them, in the preferred embodiment provided by the present invention, photographing the target planting area, obtaining the photographed image of the area, performing the clustered planting state analysis, and dividing the target planting area into a healthy planting sub-area and a plurality of problem planting sub-areas specifically include the following steps:
[0075] Step S1011, determine the target planting area, and perform periodic regional photography to obtain regional photography images.
[0076] Step S1012: perform feature clustering analysis on the image captured in the area and record a plurality of feature clustering data.
[0077] Step S1013: performing matching analysis on the plurality of feature clustering data according to preset standard feature data, and determining a plurality of feature clustering boundaries.
[0078] Step S1014: Divide the target planting area into healthy planting sub-areas and multiple problem planting sub-areas according to the multiple feature clustering boundaries.
[0079] Furthermore, the soil nutrient measurement analysis and diagnosis method further comprises the following steps:
[0080] Step S102: Select multiple healthy soil sample points from the healthy planting sub-area, obtain healthy sample point nutrient data of the multiple healthy soil sample points, and calculate average healthy nutrient data.
[0081] In an embodiment of the present invention, multiple healthy soil sample points are selected from the healthy planting sub-area, and then a comprehensive measurement plan of soil nutrients is performed on the multiple healthy soil sample points, so that the soil nutrients are comprehensively measured for the multiple healthy soil sample points, and then the healthy sample point nutrient data of the multiple healthy soil sample points are obtained, and then the nutrient data of the multiple healthy sample points are averaged to calculate the average healthy nutrient data of the healthy planting sub-area.
[0082] Specifically, Figure 3 A flow chart of calculating average health nutrient data in the method provided in an embodiment of the present invention is shown.
[0083] Among them, in the preferred embodiment provided by the present invention, selecting multiple healthy soil sample points from the healthy planting sub-area, obtaining the healthy sample point nutrient data of the multiple healthy soil sample points, and calculating the average healthy nutrient data specifically include the following steps:
[0084] Step S1021: Select multiple healthy soil sample points from the healthy planting sub-area.
[0085] Step S1022: Perform a comprehensive soil nutrient measurement plan for the plurality of healthy soil sample points to obtain nutrient data for the plurality of healthy soil sample points.
[0086] Step S1023, averaging the nutrient data of the plurality of healthy sample points to calculate the average healthy nutrient data of the healthy planting sub-area.
[0087] Furthermore, the soil nutrient measurement analysis and diagnosis method further comprises the following steps:
[0088] Step S103: determining problematic soil nutrients corresponding to the plurality of problematic planting sub-areas.
[0089] In an embodiment of the present invention, problem feature data corresponding to multiple problem planting sub-areas are selected from multiple feature aggregation data, and nutrient problem analysis is performed on the multiple problem feature data based on standard feature data. According to the matching of the standard feature data with the multiple problem feature data, the nutrient problems corresponding to the multiple problem planting sub-areas are determined, and then multiple corresponding problem soil nutrients can be determined.
[0090] It can be understood that the problem characteristic data and nutrient problems in the problem planting area correspond to the problem soil nutrients. For example: the problem characteristic data is "yellow leaves and small leaves", the nutrient problem is "lack of nitrogen (N)", and the problem soil nutrient is "nitrogen (N)"; the problem characteristic data is "brown spots on leaf edges and purple spots on leaf surfaces", the nutrient problem is "lack of potassium (K)", and the problem soil nutrient is "potassium (K)".
[0091] Specifically, Figure 4 A flow chart of determining problematic soil nutrients in the method provided by an embodiment of the present invention is shown.
[0092] Among them, in the preferred embodiment provided by the present invention, the determining of problematic soil nutrients corresponding to the plurality of problematic planting sub-regions specifically comprises the following steps:
[0093] Step S1031: Select problem feature data corresponding to a plurality of problem planting sub-areas from a plurality of the feature aggregation data.
[0094] Step S1032: Based on the standard feature data, nutrient problem analysis is performed on the plurality of problem feature data to determine a plurality of corresponding problem soil nutrients.
[0095] Furthermore, the soil nutrient measurement analysis and diagnosis method further comprises the following steps:
[0096] Step S104: Select a plurality of actual problem sample points from the plurality of problematic planting sub-areas, and obtain nutrient data of the plurality of actual sample points according to the plurality of corresponding problematic soil nutrients.
[0097] In an embodiment of the present invention, multiple actual problem sample points are selected from multiple problem planting seed areas, and the sample point nutrient relationship between the multiple actual problem sample points and the multiple problem soil nutrients is recorded. Then, according to the sample point nutrient relationship, a single measurement plan of the corresponding problem soil nutrients is performed on the multiple actual problem sample points, so that a single measurement of the corresponding problem soil nutrients is performed on the multiple actual problem sample points, and then the actual sample point nutrient data of the multiple actual problem sample points are obtained.
[0098] Specifically, Figure 5 A flow chart of obtaining nutrient data of multiple actual sample points in the method provided by an embodiment of the present invention is shown.
[0099] Among them, in the preferred embodiment provided by the present invention, the step of selecting a plurality of actual problem sample points from the plurality of problem planting seed areas, and obtaining the nutrient data of the plurality of actual sample points according to the plurality of corresponding problem soil nutrients specifically includes the following steps:
[0100] Step S1041: Select a plurality of actual problem sample points from the plurality of problem planting sub-regions.
[0101] Step S1042: record the sample point nutrient relationship between a plurality of actual problem sample points and a plurality of problem soil nutrients.
[0102] Step S1043: According to the sample point nutrient relationship, a single soil nutrient measurement plan is performed on the plurality of actual problem sample points to obtain nutrient data of the plurality of actual sample points.
[0103] Furthermore, the soil nutrient measurement analysis and diagnosis method further comprises the following steps:
[0104] Step S105: select multiple extended problem sample points according to multiple actual problem sample points, calculate the extended sample point nutrient data of the multiple extended problem sample points, and calculate the average problem nutrient data of multiple problem planting sub-areas.
[0105] In an embodiment of the present invention, an extended planning density is obtained, and the total number of sample points in the multiple problem planting sub-areas is determined according to the extended planning density and the sub-area areas of the multiple problem planting sub-areas. Then, in the multiple problem planting sub-areas, based on the corresponding total number of sample points and the number of actual problem sample points, multiple extended problem sample points are supplemented and selected, and in different problem planting sub-areas, the sample point distances between the multiple extended problem sample points and the multiple actual problem sample points are obtained, and the sample point distances between the multiple extended problem sample points and the multiple actual problem sample points are obtained according to the Calculate the extended sample point nutrient data of multiple corresponding extended problem sample points, where i represents the i-th extended problem sample point, j represents the j-th actual problem sample point, and N i is the nutrient data of the extended sample point of the i-th extended problem sample point, N j is the actual sample nutrient data of the jth actual problem sample point, d ij is the sample point distance between the i-th extended problem sample point and the j-th actual problem sample point, k is the preset influencing parameter, and then the corresponding nutrient values of the multiple extended sample point nutrient data and the multiple actual problem sample points in the multiple problem planting sub-areas are averaged to calculate the average problem nutrient data of the multiple problem planting sub-areas.
[0106] It can be understood that by additionally selecting multiple extended problem sample points and calculating the extended sample point nutrient data of the multiple extended problem sample points, it is not necessary to measure the soil nutrients of all the problem sample points, and the accuracy of the nutrient data can be ensured.
[0107] Specifically, Figure 6 A flow chart of calculating average problematic nutrient data in the method provided by an embodiment of the present invention is shown.
[0108] Among them, in the preferred embodiment provided by the present invention, the method of selecting multiple extended problem sample points according to multiple actual problem sample points, calculating the extended sample point nutrient data of the multiple extended problem sample points, and calculating the average problem nutrient data of multiple problem planting sub-areas specifically includes the following steps:
[0109] Step S1051: Obtain expansion planning density.
[0110] Step S1052: According to the expansion planning density, in the plurality of the problem planting sub-areas, based on the corresponding plurality of actual problem sample points, select a plurality of expansion problem sample points.
[0111] Step S1053: Obtain sample point distances between a plurality of extended problem sample points and a plurality of actual problem sample points.
[0112] Step S1054: Calculate the extended sample point nutrient data of the plurality of corresponding extended problem sample points according to the plurality of sample point distances and the plurality of actual sample point nutrient data.
[0113] Step S1055: average the nutrient data of the corresponding multiple extended sample points and the multiple actual problem sample points in the multiple problem planting sub-areas, and calculate the average problem nutrient data of the multiple problem planting sub-areas.
[0114] Furthermore, the soil nutrient measurement analysis and diagnosis method further comprises the following steps:
[0115] Step S106: Based on the average healthy nutrient data, diagnose and compare the plurality of average problematic nutrient data, obtain the diagnosis and comparison results, and make corresponding fertilization adjustment plans.
[0116] In an embodiment of the present invention, the average healthy nutrient data is used as the health standard, and a diagnosis comparison is performed on multiple average problem nutrient data to obtain a diagnosis comparison result. Then, according to the diagnosis comparison result, a fertilization adjustment strategy for multiple problem planting sub-areas is planned, and then according to the multiple fertilization adjustment strategies, fertilization is adjusted for the multiple problem planting sub-areas.
[0117] Specifically, Figure 7 A flow chart showing diagnosis comparison and fertilization adjustment planning in the method provided by an embodiment of the present invention is shown.
[0118] Among them, in the preferred embodiment provided by the present invention, the diagnosis and comparison of the plurality of the average problem nutrient data based on the average healthy nutrient data, obtaining the diagnosis and comparison results, and making corresponding fertilization adjustment plans specifically include the following steps:
[0119] Step S1061: Based on the average healthy nutrient data, a diagnosis comparison is performed on a plurality of the average problematic nutrient data to obtain a diagnosis comparison result.
[0120] Step S1062: planning fertilization adjustment strategies for the plurality of problematic planting sub-areas according to the diagnosis comparison results.
[0121] Step S1063: According to the plurality of fertilization adjustment strategies, fertilization is adjusted for the plurality of problematic planting sub-areas.
[0122] Furthermore, Figure 8 The application architecture diagram of the soil nutrient measurement analysis and diagnosis system provided by an embodiment of the present invention is shown.
[0123] Among them, in another preferred embodiment provided by the present invention, a soil nutrient measurement analysis and diagnosis system includes:
[0124] The planting area division module 101 is used to shoot the target planting area, obtain the area shooting image, perform clustered planting status analysis, and divide the target planting area into a healthy planting sub-area and a plurality of problem planting sub-areas.
[0125] In an embodiment of the present invention, the planting area division module 101 determines the target planting area, performs periodic regional photography of the target planting area according to a preset analysis and diagnosis cycle, obtains the regional photography images, performs feature clustering analysis on the regional photography images, records multiple feature clustering data including features such as color and texture and regional positions of feature clusters, and then performs matching analysis on the multiple feature clustering data according to preset standard feature data to determine feature clustering boundaries of multiple clustering feature changes, and then divides the target planting area into healthy planting sub-areas and multiple problem planting sub-areas according to the standard feature data and multiple feature clustering boundaries, wherein the color, texture and other features in the feature clustering data corresponding to the healthy planting sub-areas meet the color, texture and other features of healthy plants specified in the standard feature data.
[0126] Specifically, Fig. 9 It shows a structural block diagram of the planting area division module 101 in the system provided by the embodiment of the present invention.
[0127] Among them, in the preferred embodiment provided by the present invention, the planting area division module 101 specifically includes:
[0128] The area shooting unit 1011 is used to determine the target planting area, perform periodic area shooting, and obtain area shooting images.
[0129] The feature clustering analysis unit 1012 is used to perform feature clustering analysis on the images captured in the area and record multiple feature clustering data.
[0130] The boundary determination unit 1013 is used to perform matching analysis on the plurality of feature clustering data according to preset standard feature data to determine a plurality of feature clustering boundaries.
[0131] The area division unit 1014 is used to divide the target planting area into a healthy planting sub-area and a plurality of problem planting sub-areas according to the plurality of feature clustering boundaries.
[0132] Furthermore, the soil nutrient measurement analysis and diagnosis system also includes:
[0133] The health nutrient analysis module 102 is used to select a plurality of healthy soil sample points from the healthy planting sub-area, obtain the health sample point nutrient data of the plurality of healthy soil sample points, and calculate the average health nutrient data.
[0134] In an embodiment of the present invention, the healthy nutrient analysis module 102 selects multiple healthy soil sample points from the healthy planting sub-area, and then performs a comprehensive measurement plan of the soil nutrients for the multiple healthy soil sample points, so as to perform a comprehensive measurement of the soil nutrients for the multiple healthy soil sample points, and then obtain the healthy sample point nutrient data of the multiple healthy soil sample points, and then average the nutrient values of the multiple healthy sample point nutrient data to calculate the average healthy nutrient data of the healthy planting sub-area.
[0135] The problematic nutrient determination module 103 is used to determine the problematic soil nutrients corresponding to the plurality of problematic planting sub-areas.
[0136] In an embodiment of the present invention, the problem nutrient determination module 103 selects problem feature data corresponding to multiple problem planting sub-areas from multiple feature aggregation data, performs nutrient problem analysis on the multiple problem feature data based on standard feature data, and determines the nutrient problems corresponding to the multiple problem planting sub-areas by matching the standard feature data with the multiple problem feature data, thereby determining multiple corresponding problem soil nutrients.
[0137] The problem nutrient analysis module 104 is used to select a plurality of actual problem sample points from the plurality of problem planting sub-areas, and obtain nutrient data of the plurality of actual sample points according to a plurality of corresponding problem soil nutrients.
[0138] In the embodiment of the present invention, the problem nutrient analysis module 104 selects multiple actual problem sample points from multiple problem planting seed areas, and records the sample point nutrient relationship between the multiple actual problem sample points and the multiple problem soil nutrients, and then performs a single measurement plan of the corresponding problem soil nutrients for the multiple actual problem sample points according to the sample point nutrient relationship, so that a single measurement of the corresponding problem soil nutrients is performed on the multiple actual problem sample points, and then the actual sample point nutrient data of the multiple actual problem sample points are obtained.
[0139] The problem expansion processing module 105 is used to select multiple extended problem sample points according to multiple actual problem sample points, calculate the extended sample point nutrient data of the multiple extended problem sample points, and calculate the average problem nutrient data of multiple problem planting sub-areas.
[0140] In the embodiment of the present invention, the problem expansion processing module 105 obtains the expansion planning density, determines the total number of sample points in the multiple problem planting sub-areas according to the expansion planning density and the sub-area areas of the multiple problem planting sub-areas, and then selects multiple expanded problem sample points in the multiple problem planting sub-areas based on the corresponding total number of sample points and the number of actual problem sample points, and obtains the sample point distances between the multiple expanded problem sample points and the multiple actual problem sample points in different problem planting sub-areas, and calculates the sample point distances between the multiple expanded problem sample points and the multiple actual problem sample points according to the expansion planning density and the sub-area areas of the multiple problem planting sub-areas. Calculate the extended sample point nutrient data of multiple corresponding extended problem sample points, where i represents the i-th extended problem sample point, j represents the j-th actual problem sample point, and N i is the nutrient data of the extended sample point of the i-th extended problem sample point, N j is the actual sample nutrient data of the jth actual problem sample point, d ij is the sample point distance between the i-th extended problem sample point and the j-th actual problem sample point, k is the preset influencing parameter, and then the corresponding nutrient values of the multiple extended sample point nutrient data and the multiple actual problem sample points in the multiple problem planting sub-areas are averaged to calculate the average problem nutrient data of the multiple problem planting sub-areas.
[0141] The diagnosis comparison processing module 106 is used to perform diagnosis comparison on the plurality of the average problem nutrient data based on the average healthy nutrient data, obtain the diagnosis comparison result, and make corresponding fertilization adjustment plan.
[0142] In an embodiment of the present invention, the diagnostic comparison processing module 106 uses the average healthy nutrient data as the health standard, performs diagnostic comparison on multiple average problem nutrient data, obtains diagnostic comparison results, and then plans fertilization adjustment strategies for multiple problem planting sub-areas according to the diagnostic comparison results, and then adjusts fertilization for multiple problem planting sub-areas according to the multiple fertilization adjustment strategies.
[0143] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.
[0144] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
[0145] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.
Claims
1. A soil nutrient measurement analysis and diagnosis method, characterized in that: The method specifically comprises the following steps: Photographing the target planting area, acquiring the photographed images of the area, performing clustered planting status analysis, and dividing the target planting area into a healthy planting sub-area and a plurality of problem planting sub-areas; Selecting a plurality of healthy soil sample points from the healthy planting sub-area, obtaining healthy sample point nutrient data of the plurality of healthy soil sample points, and calculating average healthy nutrient data; Determining problematic soil nutrients corresponding to a plurality of problematic planting sub-areas; Selecting a plurality of actual problem sample points from the plurality of problematic planting sub-areas, and obtaining nutrient data of the plurality of actual sample points according to the plurality of corresponding problematic soil nutrients; According to the multiple actual problem sample points, multiple extended problem sample points are selected, the extended sample point nutrient data of the multiple extended problem sample points are calculated, and the average problem nutrient data of the multiple problem planting sub-areas are calculated; Based on the average healthy nutrient data, a plurality of the average problematic nutrient data are diagnosed and compared, a diagnosis and comparison result is obtained, and a corresponding fertilization adjustment plan is made.
2. The soil nutrient measurement analysis and diagnosis method according to claim 1, characterized in that: The method of photographing the target planting area, acquiring the photographed images of the area, performing clustered planting status analysis, and dividing the target planting area into healthy planting sub-areas and multiple problem planting sub-areas specifically includes the following steps: Determine the target planting area, perform periodic regional photography, and obtain regional photography images; Performing feature aggregation analysis on the images captured in the area and recording a plurality of feature aggregation data; According to preset standard feature data, matching analysis is performed on the plurality of feature clustering data to determine a plurality of feature clustering boundaries; According to the plurality of feature clustering boundaries, the target planting area is divided into a healthy planting sub-area and a plurality of problem planting sub-areas.
3. The soil nutrient measurement analysis and diagnosis method according to claim 1, characterized in that: The step of selecting a plurality of healthy soil sample points from the healthy planting sub-area, obtaining the healthy sample point nutrient data of the plurality of healthy soil sample points, and calculating the average healthy nutrient data specifically comprises the following steps: Selecting a plurality of healthy soil sample points from the healthy planting sub-areas; Performing a comprehensive soil nutrient measurement plan for a plurality of healthy soil sample points to obtain nutrient data for the plurality of healthy soil sample points; The nutrient data of the plurality of healthy sample points are averaged to calculate the average healthy nutrient data of the healthy planting sub-area.
4. The soil nutrient measurement analysis and diagnosis method according to claim 2, characterized in that: Determining the problematic soil nutrients corresponding to the plurality of problematic planting sub-areas specifically comprises the following steps: Selecting problem feature data corresponding to a plurality of problem planting sub-areas from a plurality of the feature aggregation data; Based on the standard characteristic data, nutrient problem analysis is performed on the plurality of problem characteristic data to determine a plurality of corresponding problem soil nutrients.
5. The soil nutrient measurement analysis and diagnosis method according to claim 1, characterized in that: The method of selecting a plurality of actual problem sample points from the plurality of problem planting sub-areas and obtaining the nutrient data of the plurality of actual sample points according to the plurality of corresponding problem soil nutrients specifically comprises the following steps: Selecting a plurality of actual problem sample points from the plurality of problem planting sub-areas; Record the sample point nutrient relationship between multiple actual problem sample points and multiple problem soil nutrients; According to the sample point nutrient relationship, a single soil nutrient measurement plan is performed on the plurality of actual problem sample points to obtain nutrient data of the plurality of actual sample points.
6. The soil nutrient measurement analysis and diagnosis method according to claim 1, characterized in that: The method of selecting multiple extended problem sample points according to multiple actual problem sample points, calculating the extended sample point nutrient data of the multiple extended problem sample points, and calculating the average problem nutrient data of multiple problem planting sub-areas specifically includes the following steps: Get the expansion planning density; According to the expansion planning density, in the plurality of the problem planting sub-areas, based on the corresponding plurality of actual problem sample points, a plurality of expansion problem sample points are selected; Obtaining sample point distances between a plurality of extended problem sample points and a plurality of actual problem sample points; According to the plurality of sample point distances and the plurality of actual sample point nutrient data, calculating the extended sample point nutrient data of the plurality of corresponding extended problem sample points; The nutrient data of the corresponding multiple extended sample points in the multiple problem planting sub-areas and the multiple actual problem sample points are averaged to calculate the average problem nutrient data of the multiple problem planting sub-areas.
7. The soil nutrient measurement analysis and diagnosis method according to claim 6, characterized in that: The calculation formula for calculating the extended sample point nutrient data of a plurality of corresponding extended problem sample points according to the plurality of sample point distances and the plurality of actual sample point nutrient data is: Among them, i represents the i-th extended problem sample point, j represents the j-th actual problem sample point, and N i is the nutrient data of the extended sample point of the i-th extended problem sample point, N j is the actual sample nutrient data of the jth actual problem sample point, d ij is the sample point distance between the i-th extended problem sample point and the j-th actual problem sample point, and k is the preset influence parameter.
8. The soil nutrient measurement analysis and diagnosis method according to claim 1, characterized in that: The method of performing diagnostic comparison on a plurality of the average problem nutrient data based on the average healthy nutrient data, obtaining the diagnostic comparison result, and performing corresponding fertilization adjustment planning specifically includes the following steps: Based on the average healthy nutrient data, a plurality of the average problematic nutrient data are diagnosed and compared to obtain a diagnosis comparison result; According to the diagnosis and comparison results, planning fertilization adjustment strategies for the plurality of problematic planting sub-areas; According to the plurality of fertilization adjustment strategies, fertilization is adjusted for the plurality of problematic planting sub-areas.
9. A soil nutrient measurement analysis and diagnosis system, characterized in that: The system includes a planting area division module, a healthy nutrient analysis module, a problem nutrient determination module, a problem nutrient analysis module, a problem expansion processing module and a diagnosis comparison processing module, wherein: A planting area division module is used to shoot the target planting area, obtain the regional shooting image, perform clustered planting status analysis, and divide the target planting area into a healthy planting sub-area and a plurality of problem planting sub-areas; A health nutrient analysis module, used to select a plurality of healthy soil sample points from the healthy planting sub-area, obtain the health sample point nutrient data of the plurality of healthy soil sample points, and calculate the average health nutrient data; A problem nutrient determination module, used to determine the problem soil nutrients corresponding to the plurality of problem planting sub-areas; A problem nutrient analysis module is used to select a plurality of actual problem sample points from the plurality of problem planting sub-areas, and obtain nutrient data of the plurality of actual sample points according to the plurality of corresponding problem soil nutrients; A problem expansion processing module is used to select multiple extended problem sample points according to multiple actual problem sample points, calculate the extended sample point nutrient data of the multiple extended problem sample points, and calculate the average problem nutrient data of multiple problem planting sub-areas; The diagnosis comparison processing module is used to perform diagnosis comparison on the plurality of average problem nutrient data based on the average healthy nutrient data, obtain the diagnosis comparison result, and make corresponding fertilization adjustment plan.
10. The soil nutrient measurement analysis and diagnosis system according to claim 9, characterized in that: The planting area division module specifically includes: A regional shooting unit is used to determine the target planting area, perform periodic regional shooting, and obtain regional shooting images; A feature aggregation analysis unit, used to perform feature aggregation analysis on the image captured in the area and record a plurality of feature aggregation data; A boundary determination unit, used to perform matching analysis on the plurality of feature clustering data according to preset standard feature data, and determine a plurality of feature clustering boundaries; The area division unit is used to divide the target planting area into a healthy planting sub-area and a plurality of problem planting sub-areas according to the plurality of feature aggregation boundaries.
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