Household Waste Management System Using IoT and Machine Learning

被引:55
作者
Dubey, Sonali [1 ]
Singh, Pushpa [2 ]
Yadav, Piyush [3 ]
Singh, Krishna Kant [3 ]
机构
[1] IEC Coll Engn & Technol, Dept Elect & Commun Engn, Greater Noida, India
[2] IEC Coll Engn & Technol, Dept Comp Sci & Engn, Greater Noida, India
[3] GL Bajaj Inst Technol & Management, Dept Elect & Commun Engn, Greater Noida, India
来源
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE | 2020年 / 167卷
关键词
IoT; smart city; waste management; biodegradable; sensor; machine learning; MODEL;
D O I
10.1016/j.procs.2020.03.222
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:1950 / 1959
页数:10
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