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Utilizing Artificial Intelligence and Machine Learning for Enhanced Recycling Efforts
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Author(s): Nikita Kandpal (Graphic Era University (Deemed), India), Nishant Singhal (Banaras Hindu University, India), Harsh Vardhan Lavaniya (Central University of Gujarat, India), Rajul Jain (Dayalbagh Educational Institute, Agra, India), Rajat Singh (Institute of Cyber Security and Forensics, Rudrapur, India)and Ashish Gaur (Graphic Era University (Deemed), India)
Copyright: 2025
Pages: 18
Source title:
AI Technologies for Enhancing Recycling Processes
Source Author(s)/Editor(s): Debasis Mitra (Graphic Era University (Deemed), India), Tanupriya Choudhury (University of Petroleum and Energy Studies, Dehradun, India), Ayush Madan (Universiti Malaysia Terengganu, Malaysia), Sourav Chattaraj (Siksha ‘O’ Anusandhan University (Deemed), India)and Marika Pellegrini (University of L'Aquila, Italy)
DOI: 10.4018/979-8-3693-7282-1.ch004
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Abstract
One industry that has benefitted largely from the integration of Artificial Intelligence (AI) and machine learning (ML) in its processes is recycling, providing significant advancements in waste management towards sustainability and environmental conservation. This chapter highlights the application of AI and ML in various waste streams (plastic, electronic food, paper, textile, metal etc. wastage). These systems use AI-powered image recognition and sorting to better separate materials, helping in increasing the efficiency of chemical recycling technologies; meanwhile ML algorithms enable cleaner processes for handling chemicals from material recovery. Increased precision in the removal of valuable components from electronic waste via automated disassembly and predictive analytics. Using AI and ML in recycling has helped to increase operational efficiency, resources recovery but also shown clear contributions for the environment overall to ensure sustainable future ahead.
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