Artificial Intelligence and Robotics for Agriculture.

Catalog description

This course introduces artificial intelligence and robotics concepts and their applications in modern agricultural systems. Students explore how machine learning, computer vision, sensor technologies, and autonomous platforms are used for crop monitoring, soil analysis, livestock management, and agricultural decision support. Through lectures, case studies, and hands-on lab activities, students examine real-world AI workflows in precision agriculture, including data collection, image analysis, and model evaluation. The course also addresses ethical considerations, model limitations, and emerging trends shaping the future of AI-driven agriculture. Prereq: AGT 315 .