Optimization of Crop Cultivation Based on Integer Programming Methods

In recent years, agricultural development has shown the development trend of precision, green and quality agriculture. At the same time, in view of the shortage of cultivated land resources caused by population growth and urbanization, it is of great significance to optimize crop planting strategies. Based on the assumption that the relevant data of crops are stable and considering the risk factors, a multi-objective optimization model based on linear programming is established in this study to solve the optimal planting scheme of crops in the next seven years under the conditions of slow sales and half-price sales. A mixed integer linear programming model is established to solve the planting strategy problem under uncertain conditions. An integer programming model based on multi-stage decision-making is established, which solves the multi-stage planting optimization problem. The aim is to realize agricultural high efficiency, environmental protection and sustainable development.