This book captures the most recent breakthroughs that enable smarter, more efficient, and more resilient agricultural systems in response to growing global challenges such as food security, climate change, and resource scarcity. Rapid advances in artificial intelligence, sensing technologies, and data-driven systems are redefining how food is produced, managed, and sustained across the globe. Bringing together peer-reviewed contributions from international researchers and practitioners, the book presents innovative models, algorithms, and real-world applications of intelligent technologies in agriculture. Topics span precision farming, agricultural robotics and automation, smart livestock management, big data analytics for agricultural supply chains, and technology-driven approaches to sustainable and climate-resilient agriculture. Emphasis is placed on practical solutions, system architectures, and interdisciplinary methods that bridge theory and deployment. The book offers a comprehensive snapshot of current research trends and emerging directions in smart agriculture, highlighting how AI, IoT, robotics, and data analytics can be effectively integrated into modern agricultural ecosystems. Case studies and experimental results demonstrate measurable improvements in productivity, efficiency, sustainability, and decision-making. Designed for researchers, engineers, graduate students, policymakers, and industry professionals, this book serves both as a reference for advanced research and as a practical guide for implementing intelligent agricultural systems. It is particularly valuable for those seeking scalable, technology-driven solutions to modern agricultural challenges in both developed and developing regions.
