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.