Research on Optimal Crop Planting Strategy Based on Multi-Factor Perturbation in North China Mountain Village

Abstract

Agriculture is an important part of the national economy, and crop cultivation is the cornerstone of sustainable agricultural development. As the main production place of crops in the countryside, it is of great significance to formulate appropriate crop planting strategies for the sustainable development of rural economy. A sustainable agricultural crop cultivation model can fully utilize land and water resources, increase farmers' income, and achieve sustainable agricultural development. There are many factors that influence crop growing strategies, such as climate and market conditions. This paper establishes an optimal planting model for crops under multi-factor perturbation based on historical data and comprehensive consideration of various uncertainties and potential planting risks. We use Monte Carlo simulation to model the uncertainties, and use integer planning model and simulated annealing algorithm to deal with the crop planting problem in the two cases respectively, deriving the optimal cultivation strategy for the mountainous countryside in North China.