基于优化模型和蒙特卡洛模拟的农作物种植策略模型

A Crop Planting Strategy Model Based on Optimization Models and Monte Carlo Simulation

摘要: 在中国乡村振兴战略背景下，本论文针对资源有限和气候条件严苛的乡村地区，探讨了如何通过优化农作物种植策略来推动乡村经济的可持续发展。通过分析华北山区某乡村的耕地资源、作物适应性、市场数据和潜在风险，本研究建立了基于线性规划和蒙特卡洛模拟的优化模型，为华北山区某乡村制定2024至2030年的农作物种植方案。该方案旨在最大化经济收益，同时确保策略的灵活性和抗风险能力，为乡村经济发展提供科学指导。

Abstract: Under the background of China’s Rural Revitalization Strategy, this paper explores how to promote the sustainable development of rural economies in resource-limited and harsh climatic areas through optimizing crop planting strategies. By analyzing the arable land resources, crop adaptability, market data, and potential risks of a village in the North China mountainous region, this study establishes an optimization model based on linear programming and Monte Carlo simulation to formulate a crop planting plan for the village from 2024 to 2030. The plan aims to maximize economic benefits while ensuring the flexibility and risk resistance of the strategy, providing scientific guidance for rural economic development.