Decision optimization method of multi-land seed selection based on combination optimization

Abstract

The present invention discloses a decision optimization method of multi-land seed selection based on combination optimization. Aiming at a multi-land seed selection decision problem, a multi-land grain seed selection decision model based on a combination optimization theory method is constructed to achieve decision optimization of multi-land seed selection. The method comprises the steps of: constructing a training sample set; obtaining key factors which influence a yield; constructing a neural network model and performing training; constructing a training test set; obtaining a yield prediction value and a variance of a parcel through the trained neural network model; constructing a multi-land grain seed selection decision optimization model based on combination optimization; and employinga decomposition algorithm to solve an optimal seed selection proportion to obtain the optimal varieties of the seeds and a usage proportion. The decision optimization method of multi-land seed selection based on combination optimization can perform analysis and optimization of grain plantation and seed selection, and can guide concrete land agriculture plantation and agriculture plantation planning; and moreover, the decision optimization method provides technical support for macroscopic agriculture policy or regional sales and a stocking strategy so as to have great economic and social values.

Description

technical field [0001] The invention belongs to the technical field of data structure and algorithm processing, and relates to a decision-making optimization method, in particular to a multi-block land selection decision-making optimization method based on combinatorial optimization. Based on a mixed integer quadratic programming method, a multiple The grain selection decision-making model of plots realizes the optimization of decision-making for multiple plots of crops. Background technique [0002] my country's basic national conditions determine the country's growing demand for food. At the same time, my country is facing a severe food security situation. In response to my country's food situation, the state has adopted a series of measures to increase production and income. There are several main measures: one is to keep the red line of "1.8 billion mu" of cultivated land to ensure the basic farmland; the other is to cultivate high-yield crops and increase the grain yi...

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Problems solved by technology

[0014] The existing domestic optimization technology for seed selection decision-making is temporarily blank, mainly for the following reasons: First, because my country’s agriculture is dominated by small-scale farmers as a whole, there is a lack of necessary quantitative data accumulation such as weather and soil composition; For large-scale farms, despite the accumulation of these data, the varieties planted in the same plot are basically the same, and the yield performance of different varieties under the same conditions cannot be provided, that is, sufficient research data cannot be provided; the third is the overall level of agricultural science and technology in my country. It is relatively backward in terms of technology and has not yet reached the level of "digital agriculture" and "precision agriculture".

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