Study on Crop Cultivation Optimization Scheme Based on Linear Programming

Zhongwen Cui; Shenglian He

doi:10.54097/rmses347

Authors

Zhongwen Cui
Shenglian He

DOI:

https://doi.org/10.54097/rmses347

Keywords:

Crop Cultivation Optimization, Linear Programming Model, Rural Revitalization, Sustainable Development.

Abstract

Against the backdrop of the rural revitalization strategy, linear programming can optimize China's agricultural production by addressing resource scarcity and low efficiency issues through scientific decision-making. This study conducts statistical analysis of cultivation data, examining indicators such as land type proportions and crop yields, to assess cultivation efficiency. Based on these analyses, a linear programming model is constructed with multiple constraints including land suitability, cultivation cycles, and legume rotation requirements, while assuming stable variables such as sales volume, costs, and prices. Through calculations, the study reveals that wheat and corn are primary crops on plains and terraces (20-80 acres), while crops like millet and sorghum occupy smaller areas of 20-50 acres. Legume crops are rotated across different lands to maintain soil fertility. The research aims to provide farmers with scientific cultivation plans that maximize agricultural profits, thereby promoting sustainable agricultural development.

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