This book examines how Artificial Intelligence is reshaping modern agriculture, offering pathways toward sustainability, resilience, and efficiency. Through contributions on AI-powered image and video analysis, IoT-driven sensor networks, and drone-based monitoring, it highlights the practical applications of intelligent systems in crop health assessment and yield optimization. The chapters also address pressing challenges such as pest detection, storage loss management, and ethical considerations in AI-based decision-making. From horticulture to large-scale farming, the volume emphasizes the role of machine learning in crop recommendation, pest control, and fertilizer optimization, while exploring the integration of visual analytics for scalable agricultural monitoring. By bridging technological advances with real-world agricultural practices, the book demonstrates how AI fosters sustainable farming and global food security. It is an essential resource for scholars, students, practitioners, and policymakers in agriculture, computer science, and environmental studies who seek to harness innovation for regenerative farming.
