Artificial Intelligence and the Water-Energy-Food Nexus
Innovations for Sustainable Resource Management
- 1st Edition - October 1, 2026
- Latest edition
- Editor: Ali Fares
- Language: English
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… Read more
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
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
- Edition: 1
- Latest edition
- Published: October 1, 2026
- Language: English
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