Crop planting strategy based on linear programming

This paper mainly studies the problem of crop planting strategy. By constructing a linear programming model, the crop planting area was mathematically optimized, the profit maximization objective function was solved, and the optimal crop planting space allocation scheme based on quantitative analysis was finally generated. This paper establishes a linear programming model based on the linear relationships between the profit obtained from the cultivation of various agricultural products and the expected sales volume, planting area and other indicators. The model quantifies the correlation between agricultural indicators and profits by establishing objective functions, and sets constraint conditions based on crop planting data and statistical analysis of a rural village in the mountainous area of North China, and finally obtains the optimal solution of total agricultural production profits during 2024-2030.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1145/3745533.3745671
Primary Topic
Crop Yield and Soil Fertility
Type
article
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Crop planting strategy based on linear programming

Wen-Chun Liao, Xiangfan Zhang, Z. H. Lei, Zhenhua Tang et al.
Crop Yield and Soil Fertility
article

Crop planting strategy based on linear programming

Wen-Chun Liao, Xiangfan Zhang, Z. H. Lei, Zhenhua Tang, Y. Fang
article en

Abstract

This paper mainly studies the problem of crop planting strategy. By constructing a linear programming model, the crop planting area was mathematically optimized, the profit maximization objective function was solved, and the optimal crop planting space allocation scheme based on quantitative analysis was finally generated. This paper establishes a linear programming model based on the linear relationships between the profit obtained from the cultivation of various agricultural products and the expected sales volume, planting area and other indicators. The model quantifies the correlation between agricultural indicators and profits by establishing objective functions, and sets constraint conditions based on crop planting data and statistical analysis of a rural village in the mountainous area of North China, and finally obtains the optimal solution of total agricultural production profits during 2024-2030.

Guangdong University of Technology (CN)
Zero hunger
Openalex Percentile: Top 70%
Crop Yield and Soil Fertility
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