Fayomi, G.U. and Mini, S. E. and Chisom, C M. and Fayomi, O. S. I and Udoye, Nduka Ekene and Agboola, O. and Omole, D. O. (2021) Smart Waste Management for Smart City: Impact on Industrialization. In: 4th International Conference on Science and Sustainable Development, 2021, Online.
Full text not available from this repository.Abstract
Waste in different forms such as solid waste, gaseous waste and liquid waste increases due to population increase, urbanization, and industrialization and affect the globe. Waste management involves activities such as reuse, recycling and reduces waste generation and other strategies to combat the effect of waste generation due to increasing population and industrialization. Monitoring is one of the key functions of waste management, as it is needed to address the issues faced by waste management, which includes waste generation, waste collection, transportation of waste, waste treatment and waste disposal processes. This paper reviewed the technology involved in achieving a smart management and suggests the use of artificial intelligence (AI) to solve waste management such as convolutional neural network for efficient classification and waste identification and other AI technology.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Waste, Waste Management, Smart Management Technology, Smart cities |
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TP Chemical technology |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | nwokealisi |
| Date Deposited: | 07 Jul 2023 09:49 |
| Last Modified: | 07 Jul 2023 09:49 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/17148 |
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