Artificial Intelligence in Agriculture is a comprehensive and systematically organized resource that explores the integration of Artificial Intelligence and advanced digital technologies in modern agricultural systems. The book covers a wide spectrum of topics, beginning with the foundational concepts of AI and digital agriculture, and progressing to core technologies such as machine learning, deep learning, Internet of Things (IoT), and big data analytics. It further elaborates on practical applications in crop production, including precision farming, crop health monitoring, soil and water management, and yield prediction. In addition, the book highlights the role of AI in farm mechanization, smart machinery, robotics, and decision support systems, along with its applications in allied sectors such as horticulture, animal husbandry, and fisheries. Emerging areas like remote sensing, climate-smart agriculture, blockchain, and ethical considerations are also thoroughly discussed, making the book both contemporary and future-oriented. This book is primarily intended for undergraduate and postgraduate students of agriculture, agricultural engineering, and allied sciences. It will also serve as a valuable reference for researchers, academicians, extension workers, agribusiness professionals, and policymakers who are interested in understanding and applying AI-driven solutions in agriculture.