Machine Learning and IoT-Based Waste Management Model

Author:

Khan Rijwan1ORCID,Kumar Santosh2ORCID,Srivastava Akhilesh Kumar3,Dhingra Niharika1,Gupta Mahima1,Bhati Neha1,Kumari Pallavi1

Affiliation:

1. Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, U.P., India

2. Department of Mathematics, College of Natural and Applied Sciences, University of Dar es Salaam, Dar es Salaam, Tanzania

3. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, India

Abstract

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.

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

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