Machine Learning and IoT-Based Waste Management Model

被引：32

作者：

Khan R. ^{[1
]}

Kumar S. ^{[2
]}

Srivastava A.K. ^{[3
]}

Dhingra N. ^{[1
]}

Gupta M. ^{[1
]}

Bhati N. ^{[1
]}

Kumari P. ^{[1
]}

机构：

[1] Department of Computer Science and Engineering, Abes Institute of Technology, U.P., Ghaziabad

[2] Department of Mathematics, College of Natural and Applied Sciences, University of Dar Es Salaam, Dar es Salaam

[3] Department of Computer Science and Engineering, Abes Engineering College, Ghaziabad

来源：

Computational Intelligence and Neuroscience | 2021年 / 2021卷

关键词：

Waste management;

D O I：

10.1155/2021/5942574

中图分类号：

学科分类号：

摘要：

A rapid rise in inhabitants across the globe has led to the inadmissible management of waste in various countries, giving rise to various health issues and environmental pollution. The waste-collecting trucks collect waste just once or twice in seven days. Due to improper waste collection practices, the waste in the dustbin is spread on the streets. Thus, to defeat this situation, an efficient solution for smart and effective waste management using machine learning (ML) and the Internet of Things (IoT) is proposed in this paper. In the proposed solution, the authors have used an Arduino UNO microcontroller, ultrasonic sensor, and moisture sensor. Using image processing, one can measure the waste index of a particular dumping ground. A hardware prototype is also developed for the proposed framework. Thus, the presented solution for the efficient management of waste accomplishes the aim of establishing clean and pollution-free cities. © 2021 Rijwan Khan et al.

引用

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