Research on Crop Planting Optimization Strategy Based on Mixed Integer Programming

Abstract

With the advancement of agricultural modernization, the optimization of crop planting structure is becoming more and more important, but in practice it faces great challenges due to factors such as empirical decision-making and multiple constraints. In order to maximize the income of growers, this study optimized the planting strategy of crops. According to different types of cultivated land, with the goal of maximizing the income of growers, the mixed linear programming models of crop planting were established respectively. Optimize when the total crop output exceeds the expected sales volume and the price is reduced. In order to make the model consistent with the real world, this study considered the requirements of continuous cropping, planting concentration and market richness. By reasonably distributing the planting area of crops on each plot, the results show that the largest planting area of carrots is 1382.12 mu from 2024 to 2030, and the largest sales profit of Chinese cabbage is 14 million yuan, and the total profit in seven years is 87 million yuan. By optimizing the planting area and variety of crops, growers can achieve greater economic benefits with limited land resources and promote the sustainable development of the industry.