A review on automated sorting of source-separated municipal solid waste for recycling
Abstract
A crucial prerequisite for recycling forming an integral part of municipal solid waste (MSW) management is sorting of useful materials from source-separated MSW. Researchers have been exploring automated sorting techniques to improve the overall efficiency of recycling process. This paper reviews recent advances in physical processes, sensors, and actuators used as well as control and autonomy related issues in the area of automated sorting and recycling of source-separated MSW. We believe that this paper will provide a comprehensive overview of the state of the art and will help future system designers in the area. In this paper, we also present research challenges in the field of automated waste sorting and recycling.
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NIRS is a good candidate and is already widely used in other recycling processes, but with a limited number of studies.
“A good candidate is near infrared spectroscopy (NIRS) [21] which is already widely used in other recycling processes, but with a limited number of studies [22,23].”
From Classification of waste wood categories according to the best reuse using FT-NIR spectroscopy and chemometrics (2023) · cites this paper as [22]
The application of spectroscopic techniques combined with chemometrics is highly innovative and already applied in other sorting facilities.
“The application of spectroscopic techniques combined with chemometrics is highly innovative and already applied in other sorting facilities [22,23].”
From Classification of waste wood categories according to the best reuse using FT-NIR spectroscopy and chemometrics (2023) · cites this paper as [22]
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Artificial intelligence for waste management in smart cities: a review
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Towards Higher Quality of Recycled Plastics: Limitations from the Material’s Perspective
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- Authors
- Gundupalli, S. P., Hait, S., & Thakur, A.
- Affiliations
- Indian Institute of Technology Patna (IN)
- Corresponding author
- Thakur, Atul
- Venue
- Waste Management
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 60
- Pages
- 56-74
- ISSN
- 0956-053X (ISSN-L)
- OpenAlex
- W2522127752
- Cited by
- 583
- References
- 2
- Citations by year
- 2026: 59 · 2025: 91 · 2024: 85 · 2023: 84 · 2022: 72 · 2021: 68 · 2020: 46 · 2019: 39 · 2018: 25 · 2017: 14
- FWCI
- 2.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Waste Management (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Waste Management and Disposal › Municipal Solid Waste Management
- Physical Sciences › Environmental Science › Waste Management and Disposal › Waste Management and Recycling
- Physical Sciences › Engineering › Control and Systems Engineering › Industrial Automation and Control Systems
- Keywords
- automated waste sorting, recycling, sensors, actuators, autonomous systems
- MeSH terms
- Refuse Disposal, Waste Management, Recycling, Solid Waste
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