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Crop production space prediction simulation method and device, model and storage medium

A technology of spatial prediction and simulation method, applied in the field of equipment, model and storage medium, crop production spatial prediction and simulation method, can solve the problem that the suitable space of crops cannot guide specific planting and production, and achieve the effect of reducing subjectivity and improving accuracy

Active Publication Date: 2021-11-02
AGRI INFORMATION & RURAL ECONOMIC INST SICHUAN ACAD OF AGRI SCI
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Problems solved by technology

[0007] In order to solve the problem that the suitable space of crops simulated by the above-mentioned existing space simulation method cannot guide specific planting and production, the present invention provides a crop production space prediction and simulation method, equipment, model and storage medium

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  • Crop production space prediction simulation method and device, model and storage medium
  • Crop production space prediction simulation method and device, model and storage medium
  • Crop production space prediction simulation method and device, model and storage medium

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Embodiment

[0065] The first aspect of this solution provides a method for predicting and simulating crop production space. The method can be executed by but not limited to a simulation device. The simulation device can be software, or a combination of software and hardware. The simulation device can be integrated in a smart mobile terminal. , tablets, computers and other smart devices. This method is not only suitable for simulating the production space of citrus, but also suitable for the simulation of the production space of apple, kiwi, tea, peach and other crops. Specifically, such as figure 1 As shown, the method for predicting and simulating crop production space includes the following steps S101 to S105.

[0066] Step S101. Determine the dominant environmental variables related to the corresponding crop production, and process the dominant environmental variables to generate grid data in the area to be regulated.

[0067] In this step, the dominant environmental variables can on...

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Abstract

The invention discloses a crop production space prediction simulation method and device, a model and a storage medium, and the method comprises the following steps: determining dominant environment variables related to corresponding crop production, and processing the dominant environment variables to generate raster data in a to-be-regulated region; determining the distribution probability of corresponding crops in each grid pixel of the to-be-regulated region according to the dominant environment variable and the geographic coordinate data of the sampling points in the to-be-regulated region; screening out the grid pixels which can be used for planting the corresponding crops according to the distribution probability of the corresponding crops in each grid pixel; and performing planting area distribution on the to-be-regulated region according to the predicted planting area of the corresponding crops in the to-be-regulated region, the grid pixels capable of being used for planting the corresponding crops and the geographic area corresponding to the grid pixels. By adopting the method, the production space can be directly determined, and the method has guiding significance on crop planting.

Description

technical field [0001] The invention belongs to the technical field of crop production layout, and in particular relates to a crop production space prediction and simulation method, equipment, model and storage medium. Background technique [0002] Crop production space is the regional division of labor in crop production determined by the regional differentiation law of "natural-human" factors, and it is the dynamic combination and regional layout of crops in space. Due to the dual attributes of "nature-humanity", the spatial evolution of crop production can be regarded as the evolution of agricultural industrial clusters. Existing studies believe that the agricultural industrial cluster is a vital industrial cluster, which can be divided into four stages: gestation, growth, maturity and decline. At different life cycle stages of the industry, due to the interweaving of inflow effects, multiplier effects, and outflow effects, spatial differences and stage differences coexi...

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Application Information

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IPC IPC(8): G06Q50/02G06Q10/04G06F30/20
CPCG06Q50/02G06Q10/04G06F30/20
Inventor 林正雨陈春燕刘远利高文波曹杰刘光辉何鹏廖桂堂陈章
Owner AGRI INFORMATION & RURAL ECONOMIC INST SICHUAN ACAD OF AGRI SCI