Intelligent Waste Systems: AI Tools and Applications.

This comprehensive volume offers an essential exploration of how Artificial Intelligence (AI) is poised to fundamentally revolutionize global waste management, directly addressing the escalating challenges of urban growth and resource depletion. The book establishes the urgency of the global waste crisis before diving into the foundational concepts of smart waste management and the specific AI disciplines—including Machine Learning, Deep Learning, Computer Vision, and Robotics—that are transforming the sector. It meticulously analyzes practical applications across the entire waste value chain, demonstrating how AI powers real-time monitoring and dynamic route optimization for waste collection, utilizes advanced computer vision and robotic systems for highly accurate automated resource recovery and sorting, and optimizes Waste-to-Energy (WtE) and landfill management processes. Furthermore, the book examines AI’s critical impact on environmental pollution monitoring and candidly addresses the challenges of adoption, such as data quality and integration complexities, alongside vital ethical and societal considerations. Concluding with a forward-looking perspective, it illuminates emerging trends like AI's acceleration of the circular economy and synergy with digital twins and blockchain, painting a compelling vision of a sustainable, AI-powered future. This resource is invaluable for students, professors, and research scholars seeking a deep understanding of AI’s transformative potential in waste management. We are immensely indebted to TechScholastic Press, Bengaluru, for their steadfast commitment and crucial facilitation of this work's journey to publication. Many Thanks, Dr. Anand R Ph.D

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-20
DOI
https://doi.org/10.5281/zenodo.17394792
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligent Waste Systems: AI Tools and Applications.

Zenodo (CERN European Organization for Nuclear Research)
Municipal Solid Waste Management
article

Intelligent Waste Systems: AI Tools and Applications.

article en

Abstract

This comprehensive volume offers an essential exploration of how Artificial Intelligence (AI) is poised to fundamentally revolutionize global waste management, directly addressing the escalating challenges of urban growth and resource depletion. The book establishes the urgency of the global waste crisis before diving into the foundational concepts of smart waste management and the specific AI disciplines—including Machine Learning, Deep Learning, Computer Vision, and Robotics—that are transforming the sector. It meticulously analyzes practical applications across the entire waste value chain, demonstrating how AI powers real-time monitoring and dynamic route optimization for waste collection, utilizes advanced computer vision and robotic systems for highly accurate automated resource recovery and sorting, and optimizes Waste-to-Energy (WtE) and landfill management processes. Furthermore, the book examines AI’s critical impact on environmental pollution monitoring and candidly addresses the challenges of adoption, such as data quality and integration complexities, alongside vital ethical and societal considerations. Concluding with a forward-looking perspective, it illuminates emerging trends like AI's acceleration of the circular economy and synergy with digital twins and blockchain, painting a compelling vision of a sustainable, AI-powered future. This resource is invaluable for students, professors, and research scholars seeking a deep understanding of AI’s transformative potential in waste management. We are immensely indebted to TechScholastic Press, Bengaluru, for their steadfast commitment and crucial facilitation of this work's journey to publication. Many Thanks, Dr. Anand R Ph.D

Zenodo (CERN European Organization for Nuclear Research)
ESI - Post Graduate Institute of Medical Science and Research (IN)
Sustainable cities and communities
Openalex Percentile: Top 44%
Municipal Solid Waste Management
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