Review of Artificial Intelligence Applied in Decision-Making Processes in Agricultural Public Policy

• Main Authors: Juan M. Sánchez, Juan P. Rodríguez, Helbert E. Espitia
• Format: Article
• Language: English
• Published: MDPI AG 2020-10-01
• Series: Processes
• Subjects: agriculture; artificial intelligence; decision making; policy formulation; public policy
• Online Access: https://www.mdpi.com/2227-9717/8/11/1374

The objective of this article is to review how Artificial Intelligence (AI) tools have helped the process of formulating agricultural public policies in the world. For this, a search process was carried out in the main scientific repositories finding different publications. The findings have shown that, first, the most commonly used AI tools are agent-based models, cellular automata, and genetic algorithms. Secondly, they have been utilized to determine land and water use, and agricultural production. In the end, the large usefulness that AI tools have in the process of formulating agricultural public policies is concluded.