Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9798337380377
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9798337380377
Quantité disponible : Plus de 20 disponibles
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Hardcover. Etat : new. Hardcover. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798337380377
Quantité disponible : 1 disponible(s)
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9798337380377
Quantité disponible : Plus de 20 disponibles
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Hardcover. Etat : new. Hardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798337380377
Quantité disponible : 1 disponible(s)
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Hardback. Etat : New. N° de réf. du vendeur LU-9798337380377
Quantité disponible : Plus de 20 disponibles
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Hardcover. Etat : new. Hardcover. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798337380377
Quantité disponible : 1 disponible(s)
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Hardback. Etat : New. N° de réf. du vendeur LU-9798337380377
Quantité disponible : Plus de 20 disponibles
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9798337380377
Quantité disponible : 2 disponible(s)