The Research on Planting Strategies of Crops Based on Linear Programming Model
DOI:
https://doi.org/10.54097/mywx9k33Keywords:
Linear Programming Model, Crop Planting Strategy, Profit Forecasting, Cplex Solver.Abstract
本研究使用线性规划模型调查了农村地区作物种植策略的优化。该论文提出了两个不同的模型:一个假设销量稳定,而另一个考虑了销量、种植成本、每英亩产量和价格变化等因素的波动。这些模型使用 Cplex 优化工具进行求解,整合来自特定土地和作物情景的数据,以预测 2024 年至 2030 年期间的最佳种植策略。此外,这些模型可以有效地估计未来的利润波动,为农业决策提供有价值的见解。研究结果为农村作物种植策略提供了科学依据,帮助农民制定有效的种植计划,提高土地利用效率和农业生产力。这项研究对线性规划在农业决策中的实际应用做出了重大贡献,支持更好的资源管理和确保可持续的农业实践。此外,该研究提供了理论支持和方法,可应用于未来的作物种植优化研究,从而为更广泛的农业经济学和规划领域做出贡献。
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