The "Introduction to Artificial Intelligence (AI) Powered Agriculture" course provides a comprehensive overview of how AI technologies are revolutionizing the agricultural sector. Through twelve modules and case studies, participants will explore various applications of AI in agriculture, including precision farming, crop monitoring and management, smart irrigation systems, crop yield prediction, autonomous machinery, supply chain optimization, soil health monitoring, weather forecasting, and data analytics for decision support. The course also delves into ethical and environmental considerations associated with AI adoption in agriculture and discusses future trends shaping the industry.

Who This Course Is For: This course is designed for agricultural professionals, agronomists, farmers, agricultural researchers, policymakers, and individuals interested in the intersection of AI and agriculture. Whether you are seeking to enhance crop productivity, optimize resource utilization, improve supply chain efficiency, or gain insights into the ethical and environmental implications of AI-driven agriculture, this course equips you with valuable knowledge and practical insights to navigate the evolving landscape of AI-powered agriculture.