| Title |
Household Waste Management System Using IoT and Machine Learning |
| ID_Doc |
44042 |
| Authors |
Dubey, S; Singh, P; Yadav, P; Singh, KK |
| Title |
Household Waste Management System Using IoT and Machine Learning |
| Year |
2020 |
| Published |
|
| DOI |
10.1016/j.procs.2020.03.222 |
| Abstract |
IOT and machine learning based household waste management system for Green smart society are aimed to make management of waste from the every apartment of the society more efficient using the most upcoming technology IOT. This paper discusses the collection and decomposition of waste in the smart way so that benefit from the waste is maximized and the actual waste is minimized efficiently. This paper focus on the segregation of the waste at two levels: the first level of segregation is on the individual house of the society and the second level of segregation is at the society. Author, discuss the recycling of the biodegradable waste for making compost. The machine learning technique such as KNN is used to generate an alert message for various combinations of three sensor values like level of bio and non biodegradable waste,concentration of poisonous gas. The overall impact of this research is in the upliftment of the green technologies by reducing pollutants, conserving, resourcing and reusing the energy through the use of technology. (C) 2020 The Authors. Published by Elsevier B.V. |
| Author Keywords |
IoT; smart city; waste management; biodegradable; sensor; machine learning |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000582710700198 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
https://doi.org/10.1016/j.procs.2020.03.222
|