Analysis and Research of Crop Optimal Planting Strategy Based on Multi-Objective Optimization Model

随着全球气候变化和极端天气事件的频发，如何为不同地区制定出适应其气候特征的农业种植策略变得尤为重要。本研究通过分析土壤质量、降水量、温度范围等多维度因素，建立了统计分析模型和优化模型等来科学评估各农作物和种植区域对气候适应性的影响。针对不同农作物的生长需求，我们特别关注如何通过这些因素的综合评价，选出“最适合种植某种作物的区域”和“最具气候适应性的农作物品种”。此外，本研究还考虑了如何为农民设计最优种植方案，即如何在有限的耕地资源内，通过轮作、间作等农业技术，最大化农作物产量，同时保证土壤健康和生态环境可持续性。针对具体的种植规划问题，我们采用了多目标优化算法、遗传算法等方法，以找到满足经济效益和环境效益的最优解。通过对这些问题的深入分析和求解，本研究有助于为农民提供科学的种植指导，也有助于促进农业的可持续发展。With the frequent occurrence of global climate change and extreme weather events, how to develop agricultural cultivation strategies for different regions to adapt to their climate characteristics becomes particularly important. This study analyzed soil quality, precipitation, temperature range and other multi-dimensional factors, and established statistical analysis models and optimization models to scientifically evaluate the impact of crops and planting areas on climate adaptability. According to the growth needs of different crops, we pay special attention to how to select “the most suitable area for growing a certain crop” and “the most climate-adaptable crop variety” through the comprehensive evaluation of these factors. In addition, this study also considered how to design the optimal planting plan for farmers, that is, how to maximize crop yield and ensure soil health and ecological sustainability through agricultural technologies such as crop rotation and intercropping within limited arable land resources. For specific planting planning problems, we use multi-objective optimization algorithm, genetic algorithm and other methods to find the best solution to meet the economic and environmental benefits. Through the in-depth analysis and solution of these problems, this study is helpful in providing scientific planting guidance for farmers and promoting the sustainable development of agriculture.