Optimization Of Multi-Objective Crop Planting Strategies Based on Genetic Algorithms
DOI:
https://doi.org/10.54097/7qv57m30Keywords:
Genetic Algorithms, Crop Planting Strategy, Multi-Objective Optimization.Abstract
In order to prioritize agriculture and rural development, and to place rural revitalization in an important position, optimizing crop planting strategies in rural areas has become an important research issue in agriculture. In this paper, by integrating and analyzing the given crop data and field information, and by meeting the conditions of crop rotation, avoiding repeated planting, convenient tillage and field management required by the title, a practical mathematical model was established by combining genetic algorithms. Then, a corresponding program was written using MATLAB software. The model was solved, and the optimal planting strategy that can maximize the planting benefits in the future 2024-2030 was obtained, as well as the related data analysis table. This study not only provides a better solution to the problem of scarce farmland in rural areas, but also broadens the practical application scope of genetic algorithms and provides more thinking and possibilities for solving other problems.
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