Abstract

This article explores the transformative potential of AI/ML in addressing critical challenges facing agriculture, including climate change, resource scarcity, and labor shortages. AI-powered solutions are being used for precision farming, crop monitoring, and livestock management, leading to increased efficiency, productivity, and sustainability. Key players in the ag-tech sector, such as John Deere and IBM, are identified, along with the challenges and ethical considerations associated with AI adoption in agriculture. This paper also projects future trends, including increased automation, climate-smart agriculture, and data-driven decision-making, ultimately contributing to global food security. Despite the challenges, the integration of AI/ML in agriculture offers a promising path toward a more sustainable and resilient food production system.