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May 14, 2026Waste Management & Research The Journal for a Sustainable Circular Economy

Current advances and applications of artificial intelligence for smart municipal solid waste management: A review

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Authors

DADaniel Alemu AbbanuraDSDeval SinghADAnil Kumar Dikshit

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Overview

Review synthesizes AI applications for improved waste management, highlighting efficiency and environmental benefits.

Key Points

  • This review aims to evaluate the application of artificial intelligence in optimizing municipal solid waste management processes.
  • Comprehensive synthesis of AI applications across the MSW management value chain.
  • Assessment of multi-fusion AI models for waste segregation, routing, and forecasting challenges.
  • Evaluation of AI-driven models against conventional methods for waste management efficiency.
  • AI-driven models achieved 90-95% efficiency in automated waste segregation and forecasting.
  • Routing and smart bin systems using AI reduced travel distances and fuel consumption by 20-30%.
  • AI improves waste classification and process optimisation compared to traditional methods.

Cite This Study

Abbanura et al. (2026) studied this question.

synapsesocial.com/papers/6a05685ca550a87e60a20d84https://doi.org/10.1177/0734242x261444140
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