AI in Agriculture (Claude AI)

Abstract: Modern agriculture is transitioning toward intelligent automation to enhance crop productivity, reduce resource wastage, and promote sustainable farming practices. This seminar report presents a comprehensive study of how Artificial Intelligence (AI), Internet of Things (IoT), edge computing, unmanned aerial vehicles (drones), and autonomous farming systems collectively transform conventional agriculture into a smart cyber-physical ecosystem. The proposed architecture integrates sensor-based real-time field monitoring, AI-assisted decision making, predictive analytics, and autonomous robotic systems to minimize human dependency while improving precision. The report further explores federated learning for privacy-preserving collaborative model training, and machine learning models for crop disease prediction, intelligent irrigation optimization, yield forecasting, and automated harvesting — creating a holistic framework for next-generation smart farms.

Keywords: Artificial Intelligence, Cyber-Physical Systems, Smart Agriculture, Internet of Things, Edge Computing, Federated Learning, Precision Farming, Drone Surveillance, Machine Learning, Autonomous Robots.