Artificial Intelligence and the Water-Energy-Food Nexus
Innovations for Sustainable Resource Management
- 1 Edición - 1 de octubre de 2026
- Última edición
- Editor: Ali Fares
- Idioma: Inglés
Artificial Intelligence and the Water-Energy-Food Nexus: Innovations for Sustainable Resource Management is a groundbreaking exploration on how AI transforms the management of our… Leer más
Descripción
Descripción
Readers will find 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.
Puntos claves
Puntos claves
- 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
De interès para
De interès para
Índice
Índice
Section 1. Introduction to AI in the Water-Energy-Food Nexus
1. Introduction and Overview of the Topic
2. Bridging AI and the Water-Energy-Food Nexus: Ethical Considerations, Educational Frameworks, and Outreach Strategies
Section 2. AI Applications for Sustainable Agricultural and Water Resource Management
3. Revolutionizing Poultry Farming: AI Innovations for Sustainable Resource Management
4. Economic Implications of Digital Twin Models in Agriculture: Lessons from Cotton in Texas
5. AI-Driven Approaches for Water Stress Monitoring and Sustainable Resource Management in Agriculture
6. Harnessing Machine Learning for Peanut Yield Prediction and Climate Impact Analysis in Central Georgia Agriculture
7. AI-Driven Energy Transition: Advancing Sustainability Through Reduced Environmental Footprints and Enhanced Water-Food Security
Section 3. Technological Innovations for Post-Harvest and Food Efficiency
8. AI-Driven Advancements in Post-Harvest Processing and Secure Grain Storage: Integrating Emerging Technologies with Sustainable Resource Management
9. Hyperspectral Imaging and AI for Food Quality and Sustainability in the Water-Energy-Food Nexus
10. Data-Driven Innovations for Crop Water Management
Section 4. Addressing Global Challenges and Future Directions in the WEF Nexus
11. AI-Driven Monitoring of Food Efficiency and Weight Gain in Goats
12. Tackling the Water-Energy-Food Nexus in Sub-Saharan Africa: Challenges and Solutions
13. AI and the FEW Nexus: A Computable General Equilibrium Model
14. AI and Team Science: Advancing Interdisciplinary Solutions for Global Water-Energy-Food Challenges
15. Synthesis and Recommendations
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 1 de octubre de 2026
- Idioma: Inglés
Sobre el editor
Sobre el editor
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