A Study of Crop Planting Strategies Based on the MILP Model and Monte Carlo Simulation

The aim of this paper is to investigate crop cultivation strategies through mixed integer linear programming (MILP) models and Monte Carlo simulations. Firstly, based on 2023 data, the MILP model was constructed to maximise net returns and minimise stunting losses, and the impact of different market response strategies on economic efficiency was analysed. Second, the Monte Carlo simulation method was used to dynamically adjust the planting layout to cope with market fluctuations by taking into account the growth trend of crop sales and the uncertainty of other crop parameters. Finally, through the correlation analysis between crops, the substitutability and complementarity between crops were explored in depth to further optimise the planting strategy. The methodology of this paper provides an important reference for the optimization of crop planting strategies in similar regions, showing the potential of the MILP model and Monte Carlo simulation.