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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,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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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. |
format | Online Article Text |
id | pubmed-8416408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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