| Issue |
ITM Web Conf.
Volume 59, 2024
II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
|
|
|---|---|---|
| Article Number | 01017 | |
| Number of page(s) | 6 | |
| Section | Hybrid Modeling and Optimization in Complex Systems: Advances and Applications | |
| DOI | https://doi.org/10.1051/itmconf/20245901017 | |
| Published online | 25 January 2024 | |
Solving problems of optimizing crop rotation using genetic and ant algorithms
1
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University,
Tashkent,
Uzbekistan
2
Sejong University, South Korea,
Seoul,
Korea
* Corresponding author: m_narzullo@mail.ru
Issues of optimizing crop rotations are becoming key to increasing production efficiency and ensuring sustainable development of agriculture. Crop rotation is the systematic rotation of different crops in the fields over several years, which helps maintain soil fertility, reduce the risk of diseases and pests, and optimize the use of resources. The goal of the study is to develop effective strategies for managing crop rotations in order to optimize the use of resources and increase productivity. The paper presents strategies for managing a crop rotation system aimed at optimal distribution of areas for different crops, rational use of resources and emergency management. A genetic and ant algorithm is proposed for solving problems. The model is calibrated and validated using available data, followed by scenario analysis to evaluate different options.
© The Authors, published by EDP Sciences, 2024
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