Transforming Global Food Security and Agricultural Sustainability With Geospatial AI (GeoAI)

The twenty-first century faces a pressing paradox: while technological advancement accelerates, global food insecurity still threatens millions. Climate change, population growth, and resource constraints have exposed critical weaknesses in agricultural systems. Addressing these challenges requires a shift toward data-driven, resilient farming practices. Geospatial Artificial Intelligence (GeoAI), combining AI, machine learning, and geographic information science, enables the analysis of spatial data from satellites, drones, and IoT sensors. By providing real-time insights into soil, crops, water, and climate, GeoAI supports smarter decisions that improve productivity, reduce waste, and strengthen food system resilience. Transforming Global Food Security and Agricultural Sustainability With Geospatial AI (GeoAI) explores how GeoAI is redefining the agricultural landscape across scales, from local farms to global supply chains. Through interdisciplinary perspectives that blend data science, environmental policy, and sustainable development, this book bridges the gap between technological potential and real-world application. Covering topics such as plant disease detection, apple health monitoring, and precision crop mapping, this book is an excellent academic resource for graduate and doctoral students, agricultural research scientists, data scientists, AI engineers, policymakers, and more.

Pagina's: 498, Paperback, IGI GLOBAL SCIENTIFIC PUBLISHING