This edited book represents a groundbreaking effort to illustrate how artificial intelligence (AI) shapes the future of agrifood systems in terms of sustainability and resilience. As the global food system faces challenges like climate change, depletion of water and biodiversity and increases in population and consumption, this book is the first comprehensive review of how systems utilizing artificial intelligence can help solve these important challenges. The chapters cover themes from precision farming to crop monitoring, predictive modeling and smart irrigation, offering real-world insights and interdisciplinary perspectives on the transformative potential of AI for agri-tech. This volume brings together contributions from leading experts, researchers and practitioners in agriculture, technology, and policy, illuminating case studies, scalable innovations, and ethical implications. It explores the socio-economic implications of AI adoption in farming communities, emphasizing the need for innovation to be driven by principles of equity and environmental stewardship. This book provides bold visions as well as practical approaches, such as developing and implementing AI tools to craft policy frameworks, to revolutionize agri-food systems for a more sustainable, food-secure future.
