IoT and AI in Agriculture : Self-sufficiency in Food Production to Achieve Society 5.0 and SDGs Globally

This book reviews recent innovations in the smart agriculture space that use the Internet of Things (IoT) and sensing to deliver Artificial Intelligence (AI) for achieving self-sufficiency in food production. It explores how combining IoT, AI, and advanced sensing technologies can revolutionize agricultural practices to meet global food security challenges. The text examines real-world applications where data-driven decision-making, automated monitoring systems, and predictive analytics enhance crop yields, optimize resource use, and reduce environmental impact. By integrating cutting-edge technologies with traditional farming knowledge, the book demonstrates a pathway toward sustainable agriculture that supports Society 5.0 goals and the United Nations Sustainable Development Goals (SDGs). It provides comprehensive insights for researchers, policymakers, and practitioners working to transform food systems through digital innovation, ensuring resilience and efficiency in the face of climate change and population growth. The work also highlights case studies from various regions, illustrating successful implementations of IoT and AI solutions that have led to measurable improvements in agricultural productivity and sustainability.