Research on crop planting scheme based on mixed-integer nonlinear programming

Taking the statistical data of rural crop planting in 2023 in north China as reference, the optimal planting scheme of rural crops in 2024 is analyzed, and a crop planting mode of multiple types of cultivated land is explored. Establish a mixed integer nonlinear planning model, and optimize the planting scheme by comprehensively considering the field planting factors such as land type, land continuity, crop growth habit, per-mu yield, as well as the sales factors such as forecast sales volume and market sales price. Considering the actual situation of various crops between substitution and complementarity, expected sales and sales price, there is a certain correlation between planting cost, so from the perspective of economics, introducing cross elasticity coefficient judge substitution and complementarity between two crop products, finally gives the comprehensive optimal planting strategy.