| Title |
The Adoption of an Intelligent Waste Collection System in a Smart City |
| ID_Doc |
37817 |
| Authors |
Aroba, OJ; Msani, NN; Ndlovu, EE; Xulu, T; Mohlakoana, TT; Mthethwa, SM |
| Title |
The Adoption of an Intelligent Waste Collection System in a Smart City |
| Year |
2023 |
| Published |
|
| DOI |
10.1109/ICTAS56421.2023.10082750 |
| Abstract |
Solid waste management has become a significant concern in environmental issues. This can be a problem, especially in cities where the population is quickly developing, and the sum of waste produced is expanding like never before. Programs for innovative city waste can help raise proficiency, diminish costs, and improve the aesthetics of open places as cities endeavor to oversee waste in public regions effectively. This study enhances intelligent waste systems by developing innovative technologies and software as additional tools for collection. This research demonstrates how the SQERT model, a periodic trend analysis report specific to projects, will be used to assess the intelligent waste management system and the proposed software technology. Furthermore, A software prototype visualization was created to demonstrate and show how the software system will look and its functionalities to improve the waste collection system. |
| Author Keywords |
Technology; Smart city; Higher education; waste management |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000986901900024 |
| WoS Category |
Computer Science, Artificial Intelligence; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
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