Abstract

The integration of Artificial Intelligence (AI) in agriculture represents a paradigm shift toward sustainable food production systems. This review examines the multifaceted applications of AI technologies in modern agriculture, including precision farming, crop monitoring, pest management, and resource optimization. As global food demand is projected to increase by 70% by 2050, AI-driven solutions offer unprecedented opportunities to enhance agricultural productivity while minimizing environmental impact. This paper synthesizes current research and emerging trends in AI applications for sustainable agriculture, highlighting both opportunities and challenges in implementation.