Recent advances in applications of artificial intelligence in solid waste management: A review

I. Ihsanullah, Gulzar Alam, Arshad Jamal, Feroz Shaik

Research output: Contribution to journalReview articlepeer-review

48 Citations (Scopus)
202 Downloads (Pure)


Efficient management of solid waste is essential to lessen its potential health and environmental impacts. However, the current solid waste management practices encounter several challenges. The development of effective waste management systems using advanced technologies is vital to overcome the challenges faced by the current approaches. Artificial Intelligence (AI) has emerged as a powerful tool for applications in various fields. Several studies also reported the applications of AI techniques in the management of solid waste. This article critically reviews the recent advancements in the applications of AI techniques for the management of solid waste. Various AI and hybrid techniques have been successfully employed to predict the performance of various methods used for the generation, segregation, storage, and treatment of solid waste. The key challenges that limit the applications of AI in solid waste are highlighted. These include the availability and selection of applicable data, poor reproducibility, and less evidence of applications in real solid waste. Based on identified gaps and challenges, recommendations for future work are provided. This review is beneficial for all stakeholders in the field of solid waste management, including policy-makers, governments, waste management organizations, municipalities, and researchers.
Original languageEnglish
Article number136631
Issue numberPt 1
Early online date29 Sept 2022
Publication statusPublished (in print/issue) - 31 Dec 2022

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© 2022 Elsevier Ltd


  • Artificial intelligence
  • Waste management
  • Machine learning
  • Environmental pollution
  • Sustainability


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