AI in Agriculture: Revolutionizing Food Production

Advancing Artificial Intelligence to Help Feed the World

This article discusses the transformative role of AI in agriculture, particularly in breeding crops and livestock for enhanced productivity and sustainability. AI models, leveraging vast phenotypic, genomic, and multiomic datasets, facilitate the setting of breeding goals that reflect both economic and environmental considerations. Techniques like the '1,000 minds' approach incorporate stakeholder preferences to prioritize traits such as disease resistance and drought tolerance. As consumer preferences evolve, AI's ability to analyze large-scale data can ensure that breeding programs align with future demands.