CN-121981397-A - Method for evaluating and generating soil nutrients of pepper planting area based on big data analysis

CN121981397ACN 121981397 ACN121981397 ACN 121981397ACN-121981397-A

Abstract

The invention relates to the technical field of data processing and discloses a method for evaluating and generating soil nutrients of a pepper planting area based on big data analysis, which comprises the steps of integrating remote sensing data, soil sampling point actual measurement data, topographic data and crop growth data of a target pepper planting area into multi-mode characteristic parameters; the method comprises the steps of constructing a soil nutrient characteristic map, analyzing a spatial mode of the soil nutrient characteristic map, simulating a time sequence evolution trend of the soil nutrient characteristic map to obtain a current diagnosis result and a short-term evolution trend early warning of the soil nutrient, determining dominant limiting nutrient factors, carrying out differential strategy optimization on a nutrient deficiency area and a nutrient excess area to obtain a situational nutrient management prescription, carrying out inversion evaluation on implementation effects by applying the situational nutrient management prescription, and carrying out synchronous calibration on a preset expert knowledge base.

Inventors

SHI ZHIGUO
ZHOU QI
GAO ZHENGRUI
LIU YANG
LI YIQING

Assignees

甘肃省农业工程技术研究院

Dates

Publication Date: 20260505
Application Date: 20260128

Claims (10)

1. The method for evaluating and generating soil nutrients in pepper planting areas based on big data analysis is characterized by comprising the following steps of: S1, integrating remote sensing data, measured data of soil sampling points, topographic data and crop growth data of a target pepper planting area into multi-mode characteristic parameters of the target pepper planting area; S2, relating the fusion of the multi-mode characteristic parameters to a data substrate, and constructing a soil nutrient characteristic map of the target pepper planting area by taking the unified characterization of spatial heterogeneity and time dynamics as a criterion; S3, analyzing a spatial mode of the soil nutrient characteristic spectrum, and simulating a time sequence evolution trend of the soil nutrient characteristic spectrum to obtain a soil nutrient current situation diagnosis result and a short-term evolution trend early warning of the target pepper planting area; S4, dividing the target pepper planting area into a nutrient deficiency area, a nutrient excess area and a nutrient balance area according to the soil nutrient current situation diagnosis result and the short-term evolution trend early warning, and determining dominant limiting nutrient factors of the target pepper planting area; S5, according to the dominant limiting nutrient factors, and by combining corresponding physical and chemical stages, historical fertilization records and soil physicochemical backgrounds, invoking an agronomic regulation rule set in a preset expert knowledge base, and performing differential strategy optimization on the nutrient deficiency area and the nutrient excess area to obtain a situational nutrient management prescription of the target pepper planting area; S6, applying the situational nutrient management prescription, carrying out inversion evaluation on the implementation effect according to the multi-source monitoring data, and carrying out synchronous calibration on the preset expert knowledge base according to the evaluation result.
2. The method for generating soil nutrient evaluation of pepper planting area based on big data analysis according to claim 1, wherein integrating the remote sensing data, the measured data of soil sampling points, the topographic data and the crop growth data of the target pepper planting area into the multi-modal characteristic parameters of the target pepper planting area comprises: Acquiring surface reflectivity data, a soil nutrient index set, topography factor data and crop physiological monitoring data of a target pepper planting area; performing spatial standardization processing on the surface reflectivity data, the soil nutrient index set, the topographic factor data and the crop physiological monitoring data to obtain a spatial standardization multisource characteristic parameter set of the target pepper planting area; and carrying out multidimensional correlation characteristic reconstruction on the spatial standardized multisource characteristic parameter set to obtain the multimode characteristic parameters of the target pepper planting area.
3. The method for generating soil nutrient assessment of pepper planting areas based on big data analysis according to claim 1, wherein the constructing the soil nutrient feature map of the target pepper planting areas by relating the fusion of the multi-modal feature parameters to a data base and using the unified characterization of spatial heterogeneity and temporal dynamics as a criterion comprises: According to the characteristic relevance of the multi-mode characteristic parameters, establishing a relevance relation between key characteristic parameters in the multi-mode characteristic parameters so as to generate a characteristic relevance matrix of the target pepper planting area; Based on the characteristic incidence matrix, carrying out space-time collaborative interpolation processing on the key characteristic parameters to obtain a soil nutrient spatial distribution interpolation curved surface of the target pepper planting area; fusing the soil nutrient spatial distribution interpolation curved surface with crop growth time sequence parameters representing time dynamics to obtain a space-time fusion nutrient layer of the target pepper planting area; Performing time sequence slicing treatment on the space-time fusion nutrient layer to obtain a series of thematic layers of the target pepper planting area; and constructing a soil nutrient characteristic map of the target pepper planting area based on the series of thematic layers.
4. The method for generating soil nutrient evaluation in pepper planting areas based on big data analysis according to claim 3, wherein the performing space-time collaborative interpolation processing on the key feature parameters based on the feature correlation matrix to obtain a soil nutrient spatial distribution interpolation curved surface of the target pepper planting areas comprises: According to the characteristic association matrix, analyzing the spatial structure relation and the interaction influence mode between the key characteristic parameters to construct a spatial structure constraint frame of the target pepper planting area; Dynamically coupling crop growth time sequence parameters representing time dynamics with the space structure constraint frame to obtain a space-time combined constraint field of the target pepper planting area; performing bionic deduction on the key characteristic parameters by taking the space-time combined constraint field as a guiding rule to obtain a global state point set of the target pepper planting area; And performing topology reconstruction on the global state point set to obtain a soil nutrient spatial distribution interpolation curved surface of the target pepper planting area.
5. The method for generating soil nutrient assessment of pepper planting areas based on big data analysis according to claim 1, wherein the analyzing the spatial pattern of the soil nutrient feature map and simulating the time-series evolution trend of the soil nutrient feature map to obtain the current soil nutrient diagnosis result and the short-term evolution trend early warning of the target pepper planting areas comprises: Identifying a continuous space region with continuous space and similar nutrient characteristics of the soil nutrient characteristic map, and extracting geometric center coordinates of the continuous space region and a corresponding nutrient content time sequence data set; according to the nutrient content time sequence data set of the continuous space region, calculating a predicted value of the nutrient content of the target pepper planting region; comparing the current nutrient content value of the continuous space area with the corresponding predicted nutrient content value, and carrying out state judgment by combining with a preset nutrient abundant threshold range; And summarizing the state judgment results of the continuous space region to obtain the current soil nutrient diagnosis results and short-term evolution trend early warning of the target pepper planting region.
6. The method for generating soil nutrient assessment of pepper planting area based on big data analysis as claimed in claim 5, wherein the calculation formula of the predicted value of nutrient content is: ; In the formula, As a result of the predicted value of the nutrient content, A contribution coefficient for the nutrient content value for the current time period, For the current time period nutrient content value, The contribution coefficient which is the sum of the historical nutrient content values, For the number of historical time periods, To correspond to the past th Weight coefficients for the nutrient content values of the individual time periods, To express past th Nutrient content values for each time period.
7. The method for generating soil nutrient assessment for pepper planting areas based on big data analysis according to claim 5, wherein comparing the current nutrient content value of the continuous space area with the corresponding predicted nutrient content value and performing state judgment by combining with a preset nutrient abundant threshold range comprises: When the current nutrient content value is lower than the lower limit of the preset nutrient abundant threshold range, diagnosing the target pepper planting area as a current deficiency state; When the current nutrient content value is higher than the upper limit of the preset nutrient abundant threshold range, diagnosing the target pepper planting area as a current excessive state; When the predicted value of the nutrient content is lower than the lower limit of the range of the preset nutrient abundant threshold value, generating potential deficiency early warning of the target pepper planting area; And when the predicted value of the nutrient content is higher than the upper limit of the preset nutrient abundant threshold range, generating potential excessive early warning of the target pepper planting area.
8. The method for generating soil nutrient assessment of pepper planting area based on big data analysis according to claim 1, wherein the dividing the target pepper planting area into a nutrient deficiency area, a nutrient excess area and a nutrient balance area according to the soil nutrient status diagnosis result and the short-term evolution trend early warning, and determining dominant limiting nutrient factors of the target pepper planting area comprises: Determining a nutrient deficiency area and a nutrient excess area of the target pepper planting area according to the current nutrient state marked in the soil nutrient current situation diagnosis result and in combination with a potential change trend predicted in the short-term evolution trend early warning; Dividing the area except the nutrient deficiency area and the nutrient excess area in the target pepper planting area into a nutrient balance area of the target pepper planting area; respectively extracting soil nutrient characteristic data corresponding to the continuous space region in the nutrient deficiency region and the nutrient excess region, and comparing and analyzing the content level of nutrient factors in the soil nutrient characteristic data to determine the deviation state and the deviation degree of the nutrient factors in the target pepper planting region; And identifying key nutrient factors with insufficient content in the nutrient deficiency zone and excessive content in the nutrient excess zone based on the deviation state and the deviation degree so as to determine the key nutrient factors as dominant limiting nutrient factors of the target pepper planting zone.
9. The method for generating soil nutrient assessment of pepper planting areas based on big data analysis according to claim 1, wherein the step of calling an agronomic regulation rule set in a preset expert knowledge base according to the dominant limiting nutrient factors and in combination with corresponding climatic stages, historical fertilization records and soil physicochemical backgrounds to perform differential strategy optimization on the nutrient deficiency areas and the nutrient excess areas to obtain a situational nutrient management prescription of the target pepper planting areas comprises the following steps: Selecting a basic regulation scheme corresponding to an agronomic regulation rule set in a preset expert knowledge base according to the dominant limiting nutrient factors and the corresponding climatic stages; Combining the historical fertilization record of the target pepper planting area with the physical and chemical background of soil, and carrying out parameter adjustment on the basic regulation and control scheme to obtain a fertilizer supplementing and controlling regulation and control scheme of the nutrient deficiency area and the nutrient excess area; performing space synergetic evaluation on the fertilizer supplementing and controlling regulation scheme to obtain an optimized regulation scheme of the target pepper planting area; And carrying out structural arrangement on the optimized regulation scheme to obtain a situational nutrient management prescription of the target pepper planting area.
10. The method for generating soil nutrient evaluation in pepper planting areas based on big data analysis according to claim 1, wherein the applying the contextual nutrient management prescription, performing inversion evaluation on implementation effects according to multi-source monitoring data, and performing synchronous calibration on the preset expert knowledge base according to evaluation results comprises: Executing an agronomic regulation rule set specified in the visual nutrient management prescription, and acquiring multi-source monitoring data of the target pepper planting area; Performing difference analysis on the multisource monitoring data and the reference monitoring data before execution, and evaluating the actual execution effect of the situational nutrient management prescription according to the preset effect evaluation rules in the agronomic regulation rule set; and correspondingly adjusting the agronomic regulation rules in the preset expert knowledge base according to the evaluation result.

Description

Method for evaluating and generating soil nutrients of pepper planting area based on big data analysis Technical Field The invention relates to the technical field of data processing, in particular to a method for evaluating and generating soil nutrients in a pepper planting area based on big data analysis. Background The existing pepper planting area soil nutrient evaluation method has remarkable limitation in the aspect of multi-source data processing, and deep fusion and effective association of remote sensing data, soil sampling point actual measurement data, topographic data and crop growth data are difficult to realize. The traditional method lacks a standardized multi-mode characteristic parameter construction flow, so that the compatibility of different types of data is poor, information redundancy or deficiency is caused, complex relations between soil nutrients and various influencing factors cannot be comprehensively captured, and the comprehensiveness and reliability of an evaluation result are insufficient. Meanwhile, the prior art cannot fully consider the spatial heterogeneity and time dynamic property of soil nutrients, and lacks scientific unified characterization criteria in the aspect of feature map construction and time sequence evolution trend simulation. The diagnosis result is limited to the current nutrient state, the short-term evolution trend is difficult to accurately predict, and a systematic method is lacking in partition division and dominant limiting nutrient factor identification. In addition, the existing regulation and control strategies are mostly universal schemes, the Zanthoxylum bungeanum Maxim stage, the historical fertilization record and the soil physicochemical background are not combined for differential optimization, and the expert knowledge base lacks a dynamic calibration mechanism, so that the situation suitability and the implementation effect of the nutrient management prescription are poor, and the actual requirements of accurate nutrient management in the Zanthoxylum bungeanum planting area cannot be met. Therefore, how to improve the efficiency of evaluating and generating soil nutrients in pepper planting areas based on big data analysis becomes a problem to be solved urgently. Disclosure of Invention The invention provides a method for evaluating and generating soil nutrients in a pepper planting area based on big data analysis, which aims to solve the problems in the background technology. In order to achieve the above purpose, the method for evaluating and generating soil nutrients in pepper planting areas based on big data analysis provided by the invention comprises the following steps: S1, integrating remote sensing data, measured data of soil sampling points, topographic data and crop growth data of a target pepper planting area into multi-mode characteristic parameters of the target pepper planting area; S2, relating the fusion of the multi-mode characteristic parameters to a data substrate, and constructing a soil nutrient characteristic map of the target pepper planting area by taking the unified characterization of spatial heterogeneity and time dynamics as a criterion; S3, analyzing a spatial mode of the soil nutrient characteristic spectrum, and simulating a time sequence evolution trend of the soil nutrient characteristic spectrum to obtain a soil nutrient current situation diagnosis result and a short-term evolution trend early warning of the target pepper planting area; S4, dividing the target pepper planting area into a nutrient deficiency area, a nutrient excess area and a nutrient balance area according to the soil nutrient current situation diagnosis result and the short-term evolution trend early warning, and determining dominant limiting nutrient factors of the target pepper planting area; S5, according to the dominant limiting nutrient factors, and by combining corresponding physical and chemical stages, historical fertilization records and soil physicochemical backgrounds, invoking an agronomic regulation rule set in a preset expert knowledge base, and performing differential strategy optimization on the nutrient deficiency area and the nutrient excess area to obtain a situational nutrient management prescription of the target pepper planting area; S6, applying the situational nutrient management prescription, carrying out inversion evaluation on the implementation effect according to the multi-source monitoring data, and carrying out synchronous calibration on the preset expert knowledge base according to the evaluation result. In a preferred embodiment, the integrating the remote sensing data, the measured data of the soil sampling point, the topographic data and the crop growth data of the target pepper planting area into the multi-modal characteristic parameters of the target pepper planting area includes: Acquiring surface reflectivity data, a soil nutrient index set, topography factor data and crop physiological monitoring da