Revolutionizing urban solid waste management with AI and IoT: A review of smart solutions for waste collection, sorting, and recycling
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Abstract
• AI and IoT improve urban waste management. • Smart systems predict and optimize waste processes. • AI enhances recycling with robotics and sorting. • Collaboration strengthens policies and community involvement. • Challenges require investment in sustainable solutions. This review explores the transformative impact of artificial intelligence (AI) and the Internet of Things (IoT) on urban solid waste management, focusing on their potential to enhance the processes of waste collection, sorting, and recycling. With urban populations on the rise and waste generation rapidly increasing, cities face critical challenges to environmental sustainability and public health. The integration of IoT-based smart waste…
Citation impact
174
total citations
- FWCI
- 135.07
- Percentile
- 100%
- References
- 55
Citations per year
Authors
1Topics & keywords
Topics
Keywords
- Sorting
- Solid waste management
- Waste collection
- Waste management
- Municipal solid waste
- Internet of Things
- Business
- Computer science
UN Sustainable Development Goals
- Sustainable cities and communities
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