Research on Crop Planting Strategies Based on Market Factors

Abstract

This study seeks to investigate optimal agricultural planting strategies in northern China by refining the planting structure to enhance profitability and mitigate the effects of natural risks on crop production. The primary objective is to attain the judicious distribution of agricultural resources and optimize economic gains. This study develops a crop cultivation strategy model with multi-objective linear programming. To improve planting profitability, it thoroughly examines the substitutability and complementarity across crops and utilizes multiple linear regression to refine model constraints, thus alleviating the negative impacts of natural risks on crop yields. The findings indicate that the refined planting strategy enhances annual revenues by 60.93% relative to the pre-optimization condition. Furthermore, the annual profit trajectory under the optimized plan remains remarkably aligned with the original strategy, affirming the model's efficacy and dependability. This paper presents a novel method for optimizing crop planting methods by merging multiple linear regression with multi-objective linear programming, hence improving the model's relevance in practical agricultural decision-making.