The Effects of Artificial Intelligence Applications in Natural Resource Management
DOI:
https://doi.org/10.69760/aghel.025002103Keywords:
Artificial Neural Network, Genetic Algorithm, Fuzzy System, Multi-Agent System, Swarm IntelligenceAbstract
Artificial intelligence methods have been increasingly used in natural resource management as an alternative to classical methods. Three computational challenges in natural resource management are data management and communication, data analysis, and optimization and control.
Artificial intelligence methods can be a solution to these problems due to their ability to manage dynamic activities in natural resources. There are several artificial intelligence algorithms that have found various applications in various fields.
In this article, some artificial intelligence methods, including artificial neural networks, fuzzy models, genetic algorithms, cellular automata, multi-agent systems, collective intelligence, and hybrid systems, are introduced, and some of their applications in natural resource management are listed.
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