Satyabrata mandal (24 résultats)

Etat : New.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the crucial climate change challenges faced by rural communities, with a focus on how climate change affects their livelihoods. Those who are involved in developing climate change mitigation and adaptation strategies, particularly in resource-poor rural areas, will find this book to be invaluable.The book explores region-specific adaptation studies to provide insights into the potential for these solutions to be adapted to other rural regions globally, leading to wider adoption of successful strategies. Key features: 1. spatial dimension of climate change vulnerability: it examines the geographic and environmental factors that influence rural communities' vulnerability to climate change, offering valuable insights into how vulnerability varies across different regions. 2. Climate-resilient adaptive strategies: it focuses on practical, community-based adaptive solutions that can help rural populations build resilience to climate impacts, highlighting successful case studies and adaptation models. 3. Sustainable development strategies: it provides guidance on formulating sustainable development strategies in the context of a changing climate, focusing on long-term solutions that enhance the viability of rural livelihoods and contribute to the achievement of SDG 15: Life on Land.…

Etat : New.

Etat : New.

Hardback. Etat : New.

Hardback. Etat : New.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the crucial climate change challenges faced by rural communities, with a focus on how climate change affects their livelihoods. Those who are involved in developing climate change mitigation and adaptation strategies, particularly in resource-poor rural areas, will find this book to be invaluable.The book explores region-specific adaptation studies to provide insights into the potential for these solutions to be adapted to other rural regions globally, leading to wider adoption of successful strategies. Key features: 1. spatial dimension of climate change vulnerability: it examines the geographic and environmental factors that influence rural communities' vulnerability to climate change, offering valuable insights into how vulnerability varies across different regions. 2. Climate-resilient adaptive strategies: it focuses on practical, community-based adaptive solutions that can help rural populations build resilience to climate impacts, highlighting successful case studies and adaptation models. 3. Sustainable development strategies: it provides guidance on formulating sustainable development strategies in the context of a changing climate, focusing on long-term solutions that enhance the viability of rural livelihoods and contribute to the achievement of SDG 15: Life on Land. 554 pp. Englisch.…

PAP. 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.

Paperback. Etat : new. Paperback. 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. …

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book addresses the crucial climate change challenges faced by rural communities, with a focus on how climate change affects their livelihoods. Those who are involved in developing climate change mitigation and adaptation strategies, particularly in resource-poor rural areas, will find this book to be invaluable.The book explores region-specific adaptation studies to provide insights into the potential for these solutions to be adapted to other rural regions globally, leading to wider adoption of successful strategies. Key features: 1. spatial dimension of climate change vulnerability: it examines the geographic and environmental factors that influence rural communities' vulnerability to climate change, offering valuable insights into how vulnerability varies across different regions. 2. Climate-resilient adaptive strategies: it focuses on practical, community-based adaptive solutions that can help rural populations build resilience to climate impacts, highlighting successful case studies and adaptation models. 3. Sustainable development strategies: it provides guidance on formulating sustainable development strategies in the context of a changing climate, focusing on long-term solutions that enhance the viability of rural livelihoods and contribute to the achievement of SDG 15: Life on Land.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, 69115 Heidelberg 576 pp. Englisch.…

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.

HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Etat : new. Paperback. 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. …

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. …

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. …

Etat : New. Print on Demand.

Etat : New. PRINT ON DEMAND.

Paperback. Etat : new. Paperback. 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.

Taschenbuch. Etat : Neu. Transforming Global Food Security and Agricultural Sustainability With Geospatial AI (GeoAI) | Walid Al-Shaar (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337380384 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

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.

Taschenbuch. 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.…

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.…