Articles liés à AI for Climate Governance, Agriculture, and Earth Systems
Synopsis
Artificial intelligence (AI) addresses complex challenges across climate governance, agriculture, and Earth system management. By integrating large-scale environmental data, AI enables more accurate forecasting, real-time monitoring, and data-driven decision-making. In climate governance, AI supports policymakers by analyzing emissions trends, evaluating policy impacts, and improving transparency in climate commitments. In agriculture, AI-driven tools optimize crop management, enhance resilience to climate change, and reduce resource use through precision farming. At the Earth systems level, AI facilitates deeper insights into processes like land-atmosphere interactions, biodiversity change, and hydrological cycles. Together, these capabilities position AI as an enabler for more adaptive, efficient, and informed approaches to managing environmental systems in the face of climate change. AI for Climate Governance, Agriculture, and Earth Systems explores how AI analyzes environmental data, improves climate modeling, and supports evidence-based decision-making. It examines the potential of AI to enhance sustainability, optimize resource use, and strengthen resilience to climate change while also considering governance, ethical, and policy implications. This book covers topics such as climate change, precision agriculture, and biodiversity, and is a useful resource for engineers, policymakers, academicians, researchers, and earth scientists.
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À propos de l'auteur
Dr. Mehmet Çelik is an Assoc. Prof. of Physical Geography. He focuses on the interaction between climate variables, nature and the environment. His multidisciplinary research interests include remote sensing and GIS studies involving climate, natural resource management, and disasters. Dr. Çelik uses multispectral and hyperspectral remote sensing and GIS to monitor changes to ecosystems and analyse the contribution of natural and anthropogenic factors to these changes.
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Paperback. Etat : new. Paperback. Artificial intelligence (AI) addresses complex challenges across climate governance, agriculture, and Earth system management. By integrating large-scale environmental data, AI enables more accurate forecasting, real-time monitoring, and data-driven decision-making. In climate governance, AI supports policymakers by analyzing emissions trends, evaluating policy impacts, and improving transparency in climate commitments. In agriculture, AI-driven tools optimize crop management, enhance resilience to climate change, and reduce resource use through precision farming. At the Earth systems level, AI facilitates deeper insights into processes like land-atmosphere interactions, biodiversity change, and hydrological cycles. Together, these capabilities position AI as an enabler for more adaptive, efficient, and informed approaches to managing environmental systems in the face of climate change. AI for Climate Governance, Agriculture, and Earth Systems explores how AI analyzes environmental data, improves climate modeling, and supports evidence-based decision-making. It examines the potential of AI to enhance sustainability, optimize resource use, and strengthen resilience to climate change while also considering governance, ethical, and policy implications. This book covers topics such as climate change, precision agriculture, and biodiversity, and is a useful resource for engineers, policymakers, academicians, researchers, and earth scientists. 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 9798260007792
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Paperback. Etat : new. Paperback. Artificial intelligence (AI) addresses complex challenges across climate governance, agriculture, and Earth system management. By integrating large-scale environmental data, AI enables more accurate forecasting, real-time monitoring, and data-driven decision-making. In climate governance, AI supports policymakers by analyzing emissions trends, evaluating policy impacts, and improving transparency in climate commitments. In agriculture, AI-driven tools optimize crop management, enhance resilience to climate change, and reduce resource use through precision farming. At the Earth systems level, AI facilitates deeper insights into processes like land-atmosphere interactions, biodiversity change, and hydrological cycles. Together, these capabilities position AI as an enabler for more adaptive, efficient, and informed approaches to managing environmental systems in the face of climate change. AI for Climate Governance, Agriculture, and Earth Systems explores how AI analyzes environmental data, improves climate modeling, and supports evidence-based decision-making. It examines the potential of AI to enhance sustainability, optimize resource use, and strengthen resilience to climate change while also considering governance, ethical, and policy implications. This book covers topics such as climate change, precision agriculture, and biodiversity, and is a useful resource for engineers, policymakers, academicians, researchers, and earth scientists. 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 9798260007792
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Paperback. Etat : new. Paperback. Artificial intelligence (AI) addresses complex challenges across climate governance, agriculture, and Earth system management. By integrating large-scale environmental data, AI enables more accurate forecasting, real-time monitoring, and data-driven decision-making. In climate governance, AI supports policymakers by analyzing emissions trends, evaluating policy impacts, and improving transparency in climate commitments. In agriculture, AI-driven tools optimize crop management, enhance resilience to climate change, and reduce resource use through precision farming. At the Earth systems level, AI facilitates deeper insights into processes like land-atmosphere interactions, biodiversity change, and hydrological cycles. Together, these capabilities position AI as an enabler for more adaptive, efficient, and informed approaches to managing environmental systems in the face of climate change. AI for Climate Governance, Agriculture, and Earth Systems explores how AI analyzes environmental data, improves climate modeling, and supports evidence-based decision-making. It examines the potential of AI to enhance sustainability, optimize resource use, and strengthen resilience to climate change while also considering governance, ethical, and policy implications. This book covers topics such as climate change, precision agriculture, and biodiversity, and is a useful resource for engineers, policymakers, academicians, researchers, and earth scientists. 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 9798260007792
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Taschenbuch. Etat : Neu. AI for Climate Governance, Agriculture, and Earth Systems | Mehmet Ali Çelik | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798260007792 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134939748
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI) addresses complex challenges across climate governance, agriculture, and Earth system management. By integrating large-scale environmental data, AI enables more accurate forecasting, real-time monitoring, and data-driven decision-making. In climate governance, AI supports policymakers by analyzing emissions trends, evaluating policy impacts, and improving transparency in climate commitments. In agriculture, AI-driven tools optimize crop management, enhance resilience to climate change, and reduce resource use through precision farming. At the Earth systems level, AI facilitates deeper insights into processes like land-atmosphere interactions, biodiversity change, and hydrological cycles. Together, these capabilities position AI as an enabler for more adaptive, efficient, and informed approaches to managing environmental systems in the face of climate change. AI for Climate Governance, Agriculture, and Earth Systems explores how AI analyzes environmental data, improves climate modeling, and supports evidence-based decision-making. It examines the potential of AI to enhance sustainability, optimize resource use, and strengthen resilience to climate change while also considering governance, ethical, and policy implications. This book covers topics such as climate change, precision agriculture, and biodiversity, and is a useful resource for engineers, policymakers, academicians, researchers, and earth scientists. N° de réf. du vendeur 9798260007792
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