Artificial Intelligence for the Water-Energy-Food Nexus

Artificial Intelligence for the Water-Energy-Food Nexus explores the intricate connections between water, energy, and food-essentials for sustainable development-and the transformative potential of artificial intelligence (AI) within these domains. It begins by introducing the water-energy-food nexus, outlining the three dimensions: water-energy, water-food, and energy-food nexus. The book discusses assessment methods, challenges, opportunities, trends, and future perspectives. Subsequent chapters delve into AI techniques like machine learning, natural language processing, computer vision, and robotics. It studies AI applications in water treatment, wastewater management, renewable energy systems, smart grids, and food industry processes such as sorting, detection, safety, quality analysis, and packaging.

The final chapter integrates AI applications across all these nexuses, making the book indispensable for researchers, students, engineers, industry professionals, and policymakers.

List of contents

1. Introduction to the Water-Energy-Food Nexus: Concepts/Frameworks, Assessment, Challenges, and Trends
2. Introduction to Artificial Intelligence Techniques
3. Artificial Intelligence for the Water Sector/Industry
4. Artificial Intelligence for the Energy Sector/Industry
5. Artificial Intelligence for the Food Sector/Industry
6. Artificial Intelligence Application to the Water-Energy-Food Nexus

Product details

• Assisted by: Jafarinejad Shahryar (Editor), Amir Shahirinia (Editor)
• Publisher: Elsevier
• Languages: English
• Release: 01.12.2025
• EAN: 9780443340192
• ISBN: 978-0-443-34019-2
• Subjects: Natural sciences, medicine, IT, technology > Technology > Heat, energy and power station engineering; Artificial Intelligence, TECHNOLOGY & ENGINEERING / Power Resources / General, SCIENCE / Energy, TECHNOLOGY & ENGINEERING / Power Resources / Electrical, Electrical Engineering, Energy technology & engineering, Alternative & renewable energy sources & technology, COMPUTERS / Artificial Intelligence / General, Alternative and renewable energy sources and technology, Energy technology and engineering, Energy, power generation, distribution and storage, Electric motors