ROLE OF AI IN E-WASTE MANAGEMENT AND RECYCLING
Abstract
The rapid growth of electronic waste (e-waste) has a significant impact on environmental, economic, and public health challenges worldwide. Traditional e-waste management and recycling methods are often inefficient, labor-intensive, and unable to cope with the increasing volume and complexity of discarded electronic products. This paper shows the study of the role of Artificial Intelligence (AI) in e-waste management and recycling processes. AI technologies such as machine learning, computer vision, and intelligent robotics enable automated identification, sorting, and disassembly of e-waste, leading to improved material recovery and reduced human exposure to hazardous substances.
Fields of Study & Subjects
Recycling and Waste Management Techniques
Municipal Solid Waste Management
Waste Management and Recycling
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 February 2026
- Language
- EN