An Assessment of Machine Learning Integrated Autonomous Waste Detection and Sorting of Municipal Solid Waste
Municipal solid waste deposition in metropolitan areas has become a major concern that, if not addressed, can lead to environmental degradation and possibly endanger human health. It is important to adopt a smart waste management system in place to cope with a range of waste materials. This research...
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| Format: | Article |
| Language: | English |
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Technoscience Publications
2021-12-01
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| Series: | Nature Environment and Pollution Technology |
| Subjects: | |
| Online Access: | https://neptjournal.com/upload-images/(13)B-3808.pdf |
| _version_ | 1818347972029579264 |
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| author | Sonam Chaturvedi, Bikarama Prasad Yadav and Nihal Anwar Siddiqui |
| author_facet | Sonam Chaturvedi, Bikarama Prasad Yadav and Nihal Anwar Siddiqui |
| author_sort | Sonam Chaturvedi, Bikarama Prasad Yadav and Nihal Anwar Siddiqui |
| collection | DOAJ |
| description | Municipal solid waste deposition in metropolitan areas has become a major concern that, if not addressed, can lead to environmental degradation and possibly endanger human health. It is important to adopt a smart waste management system in place to cope with a range of waste materials. This research aims to develop a smart modelling method that could accurately predict and forecast the production of municipal solid waste. An integrated convolution neural network and air-jet system-based framework developed for pre-processing and data integration were developed. The results showed that machine learning algorithms could be used to detect different types of waste with high accuracy. The best performers were obtained from neural network models, which captured 72% of the information variation. The method proposed in this study demonstrates the feasibility of developing tools to assist urban waste through the supply, pre-processing, integration, and modelling of data accessible to the public from a variety of sources. |
| first_indexed | 2024-12-13T17:42:39Z |
| format | Article |
| id | doaj.art-50f4615bb76d47288e0ccf99c6ac964a |
| institution | Directory Open Access Journal |
| issn | 0972-6268 2395-3454 |
| language | English |
| last_indexed | 2024-12-13T17:42:39Z |
| publishDate | 2021-12-01 |
| publisher | Technoscience Publications |
| record_format | Article |
| series | Nature Environment and Pollution Technology |
| spelling | doaj.art-50f4615bb76d47288e0ccf99c6ac964a2022-12-21T23:36:41ZengTechnoscience PublicationsNature Environment and Pollution Technology0972-62682395-34542021-12-012041515152510.46488/NEPT.2021.v20i04.013(13)B-3808An Assessment of Machine Learning Integrated Autonomous Waste Detection and Sorting of Municipal Solid WasteSonam Chaturvedi, Bikarama Prasad Yadav and Nihal Anwar SiddiquiMunicipal solid waste deposition in metropolitan areas has become a major concern that, if not addressed, can lead to environmental degradation and possibly endanger human health. It is important to adopt a smart waste management system in place to cope with a range of waste materials. This research aims to develop a smart modelling method that could accurately predict and forecast the production of municipal solid waste. An integrated convolution neural network and air-jet system-based framework developed for pre-processing and data integration were developed. The results showed that machine learning algorithms could be used to detect different types of waste with high accuracy. The best performers were obtained from neural network models, which captured 72% of the information variation. The method proposed in this study demonstrates the feasibility of developing tools to assist urban waste through the supply, pre-processing, integration, and modelling of data accessible to the public from a variety of sources.https://neptjournal.com/upload-images/(13)B-3808.pdfmunicipal waste management, machine learning, cnn, image processing |
| spellingShingle | Sonam Chaturvedi, Bikarama Prasad Yadav and Nihal Anwar Siddiqui An Assessment of Machine Learning Integrated Autonomous Waste Detection and Sorting of Municipal Solid Waste Nature Environment and Pollution Technology municipal waste management, machine learning, cnn, image processing |
| title | An Assessment of Machine Learning Integrated Autonomous Waste Detection and Sorting of Municipal Solid Waste |
| title_full | An Assessment of Machine Learning Integrated Autonomous Waste Detection and Sorting of Municipal Solid Waste |
| title_fullStr | An Assessment of Machine Learning Integrated Autonomous Waste Detection and Sorting of Municipal Solid Waste |
| title_full_unstemmed | An Assessment of Machine Learning Integrated Autonomous Waste Detection and Sorting of Municipal Solid Waste |
| title_short | An Assessment of Machine Learning Integrated Autonomous Waste Detection and Sorting of Municipal Solid Waste |
| title_sort | assessment of machine learning integrated autonomous waste detection and sorting of municipal solid waste |
| topic | municipal waste management, machine learning, cnn, image processing |
| url | https://neptjournal.com/upload-images/(13)B-3808.pdf |
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