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State of the Art Techniques for Water Quality Monitoring Systems for Fish Ponds Using IoT and Underwater Sensors: A Review

One of the major issues facing the world is the resource of safe water, which is decreasing rapidly due to climatic changes, contamination, and pollution. The most affected living beings are underwater life forms as they eventually take these toxins in and are thus prone to death, making continuousl...

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Detalles Bibliográficos
Autores principales: Manoj, M., Dhilip Kumar, V., Arif, Muhammad, Bulai, Elena-Raluca, Bulai, Petru, Geman, Oana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949950/
https://www.ncbi.nlm.nih.gov/pubmed/35336256
http://dx.doi.org/10.3390/s22062088
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author Manoj, M.
Dhilip Kumar, V.
Arif, Muhammad
Bulai, Elena-Raluca
Bulai, Petru
Geman, Oana
author_facet Manoj, M.
Dhilip Kumar, V.
Arif, Muhammad
Bulai, Elena-Raluca
Bulai, Petru
Geman, Oana
author_sort Manoj, M.
collection PubMed
description One of the major issues facing the world is the resource of safe water, which is decreasing rapidly due to climatic changes, contamination, and pollution. The most affected living beings are underwater life forms as they eventually take these toxins in and are thus prone to death, making continuously checking water quality a quintessential task. But traditional systems for checking water quality are energy-consuming, involving the initial collection of water samples from different locations and then testing them in the lab. One emerging technology, the Internet of Things (IoT), shows great promise related to this field. This paper presents a detailed review of various water quality monitoring systems (WQSN), using IoT, that have been proposed by various researchers for the past decade (2011–2020). In this instance, new calculations are made for potential clients to analyze the concerned area of research. This review acknowledges key accomplishments concerning quality measures and success indicators regarding qualitative and quantitative measurement. This study also explores the key points and reasons behind lessons learned and proposes a roadmap for impending findings.
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spelling pubmed-89499502022-03-26 State of the Art Techniques for Water Quality Monitoring Systems for Fish Ponds Using IoT and Underwater Sensors: A Review Manoj, M. Dhilip Kumar, V. Arif, Muhammad Bulai, Elena-Raluca Bulai, Petru Geman, Oana Sensors (Basel) Review One of the major issues facing the world is the resource of safe water, which is decreasing rapidly due to climatic changes, contamination, and pollution. The most affected living beings are underwater life forms as they eventually take these toxins in and are thus prone to death, making continuously checking water quality a quintessential task. But traditional systems for checking water quality are energy-consuming, involving the initial collection of water samples from different locations and then testing them in the lab. One emerging technology, the Internet of Things (IoT), shows great promise related to this field. This paper presents a detailed review of various water quality monitoring systems (WQSN), using IoT, that have been proposed by various researchers for the past decade (2011–2020). In this instance, new calculations are made for potential clients to analyze the concerned area of research. This review acknowledges key accomplishments concerning quality measures and success indicators regarding qualitative and quantitative measurement. This study also explores the key points and reasons behind lessons learned and proposes a roadmap for impending findings. MDPI 2022-03-08 /pmc/articles/PMC8949950/ /pubmed/35336256 http://dx.doi.org/10.3390/s22062088 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Manoj, M.
Dhilip Kumar, V.
Arif, Muhammad
Bulai, Elena-Raluca
Bulai, Petru
Geman, Oana
State of the Art Techniques for Water Quality Monitoring Systems for Fish Ponds Using IoT and Underwater Sensors: A Review
title State of the Art Techniques for Water Quality Monitoring Systems for Fish Ponds Using IoT and Underwater Sensors: A Review
title_full State of the Art Techniques for Water Quality Monitoring Systems for Fish Ponds Using IoT and Underwater Sensors: A Review
title_fullStr State of the Art Techniques for Water Quality Monitoring Systems for Fish Ponds Using IoT and Underwater Sensors: A Review
title_full_unstemmed State of the Art Techniques for Water Quality Monitoring Systems for Fish Ponds Using IoT and Underwater Sensors: A Review
title_short State of the Art Techniques for Water Quality Monitoring Systems for Fish Ponds Using IoT and Underwater Sensors: A Review
title_sort state of the art techniques for water quality monitoring systems for fish ponds using iot and underwater sensors: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949950/
https://www.ncbi.nlm.nih.gov/pubmed/35336256
http://dx.doi.org/10.3390/s22062088
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