Artificial Intelligence in agriculture refers to the integration of advanced technologies such as machine learning, computer vision, robotics, and predictive analytics into farming practices to improve productivity, efficiency, and sustainability. AI enables farmers to make data-driven decisions by analyzing weather patterns, soil health, crop conditions, and pest activity in real time. As global food demand rises and labor shortages persist, AI-driven agriculture is becoming a critical solution for optimizing yields while minimizing environmental impact.