Abstract
The agricultural sector is facing increasing challenges due to climate change, including altered precipitation patterns, temperature fluctuations, and extreme weather events. Artificial intelligence (AI) is emerging as a promising tool to help farmers adapt to these challenges. This article explores the role of AI in climate adaptation for agriculture, focusing on AI-driven solutions for precision farming, crop modeling, pest and disease management, and resource optimization. It also discusses the potential of AI to enhance the resilience of agricultural systems and improve food security in the face of a changing climate
All articles published in the American Journal of Artificial Intelligence and Neural Networks (AJAINN) are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Under this license:
-
Authors retain full copyright of their work.
-
Readers are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material) for any purpose, even commercially.
-
Proper credit must be given to the original author(s) and the source, a link to the license must be provided, and any changes made must be indicated.
This open licensing ensures maximum visibility and reusability of research while maintaining author rights.