Dynamic Programming Modeling for Rural Cultivation Strategy
DOI:
https://doi.org/10.54097/6j0w2f81Keywords:
Dynamic Programming, Crop Planting, Optimal Strategy, Genetic Algorithm.Abstract
According to the actual situation of rural areas, making full use of limited cultivated land resources, adapting to local conditions and developing organic planting industry are of great practical significance to the sustainable development of rural economy. Selecting appropriate crops and the planting areas is conducive to facilitating field management and reducing the planting risks that may be caused by various uncertain factors. In order to optimize the planting strategy, improve agricultural production efficiency and quality, and increase farmers' income, this article made reasonable assumptions based on the existing data, established a single-objective linear programming model. We took profit maximization as the objective function, set the constraints according to the real-world limitations, conducted iterative calculations, and finally obtained the optimal planting strategy and the expected income. It has practical significance for the planting planning of collective agriculture and has reference value for solving linear programming problems in other fields.
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