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Machine Learning and IoT-Based Waste Management Model

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,...

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Autores principales: Khan, Rijwan, Kumar, Santosh, Srivastava, Akhilesh Kumar, Dhingra, Niharika, Gupta, Mahima, Bhati, Neha, Kumari, Pallavi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416408/
https://www.ncbi.nlm.nih.gov/pubmed/34484322
http://dx.doi.org/10.1155/2021/5942574
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author Khan, Rijwan
Kumar, Santosh
Srivastava, Akhilesh Kumar
Dhingra, Niharika
Gupta, Mahima
Bhati, Neha
Kumari, Pallavi
author_facet Khan, Rijwan
Kumar, Santosh
Srivastava, Akhilesh Kumar
Dhingra, Niharika
Gupta, Mahima
Bhati, Neha
Kumari, Pallavi
author_sort Khan, Rijwan
collection PubMed
description 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.
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spelling pubmed-84164082021-09-04 Machine Learning and IoT-Based Waste Management Model Khan, Rijwan Kumar, Santosh Srivastava, Akhilesh Kumar Dhingra, Niharika Gupta, Mahima Bhati, Neha Kumari, Pallavi Comput Intell Neurosci Research Article 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. Hindawi 2021-08-26 /pmc/articles/PMC8416408/ /pubmed/34484322 http://dx.doi.org/10.1155/2021/5942574 Text en Copyright © 2021 Rijwan Khan et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Khan, Rijwan
Kumar, Santosh
Srivastava, Akhilesh Kumar
Dhingra, Niharika
Gupta, Mahima
Bhati, Neha
Kumari, Pallavi
Machine Learning and IoT-Based Waste Management Model
title Machine Learning and IoT-Based Waste Management Model
title_full Machine Learning and IoT-Based Waste Management Model
title_fullStr Machine Learning and IoT-Based Waste Management Model
title_full_unstemmed Machine Learning and IoT-Based Waste Management Model
title_short Machine Learning and IoT-Based Waste Management Model
title_sort machine learning and iot-based waste management model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416408/
https://www.ncbi.nlm.nih.gov/pubmed/34484322
http://dx.doi.org/10.1155/2021/5942574
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