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Indigo Artificial Intelligence and the Water-Energy-Food Nexus: Innovations for Sustainable Resource Management | Erin Mills Town Centre
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AI and the Water-Energy-Food Nexus: Innovations for Sustainable Resource Management is a groundbreaking exploration of how AI transforms the management of our planet's most vital resources. The book's chapters provide an in-depth analysis of the intersections of AI and the FEW Nexus, including the critical need for sustainable farming practices, water conservation, and energy efficiency. Contributing authors are experts from around the globe who offer practical solutions, case studies, and cutting-edge technologies like digital twins, machine learning, and hyperspectral imaging to optimize resource management.
Specific topics include enhancing poultry production and the predictions of crop yields and post-harvest processing, while also dealing with FEW security in sub-Saharan Africa. Additionally, the book covers various topics that showcase AI's potential to boost agricultural productivity, mitigate climate change, and promote food security. This book's content covers ethical considerations, interdisciplinary collaboration, and the integration of AI into real-world practices. This book is a reference for researchers, policymakers, and industry leaders interested in sustainable development and resource management.
Examines how AI technologies are transforming sustainable practices across agriculture, water, and energy systems within the Water-Energy-Food (WEF) Nexus
Highlights real-world applications through case studies ranging from poultry farming to digital twin models, post-harvest processing, and climate-resilient agriculture
Covers interdisciplinary strategies, integrating ethical frameworks, economic modeling, and regional insights to address global challenges
AI and the Water-Energy-Food Nexus: Innovations for Sustainable Resource Management is a groundbreaking exploration of how AI transforms the management of our planet's most vital resources. The book's chapters provide an in-depth analysis of the intersections of AI and the FEW Nexus, including the critical need for sustainable farming practices, water conservation, and energy efficiency. Contributing authors are experts from around the globe who offer practical solutions, case studies, and cutting-edge technologies like digital twins, machine learning, and hyperspectral imaging to optimize resource management.
Specific topics include enhancing poultry production and the predictions of crop yields and post-harvest processing, while also dealing with FEW security in sub-Saharan Africa. Additionally, the book covers various topics that showcase AI's potential to boost agricultural productivity, mitigate climate change, and promote food security. This book's content covers ethical considerations, interdisciplinary collaboration, and the integration of AI into real-world practices. This book is a reference for researchers, policymakers, and industry leaders interested in sustainable development and resource management.
Examines how AI technologies are transforming sustainable practices across agriculture, water, and energy systems within the Water-Energy-Food (WEF) Nexus
Highlights real-world applications through case studies ranging from poultry farming to digital twin models, post-harvest processing, and climate-resilient agriculture
Covers interdisciplinary strategies, integrating ethical frameworks, economic modeling, and regional insights to address global challenges
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