Automated water quality monitoring system development via LabVIEW for aquaculture industry (Tilapia) in Malaysia

Maintaining the quality of the water quality is one of the important aspects that play a substantial effect on the aquaculture industry especially in the tilapia industry. The quality of the water needs to be continuously monitored as any deviation from the allowed critical parameters such as water...

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Published in:Indonesian Journal of Electrical Engineering and Computer Science
Main Author: Othman N.A.; Damanhuri N.S.; Syafiq Mazalan M.A.; Shamsuddin S.A.; Abbas M.H.; Chiew Meng B.C.
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091567551&doi=10.11591%2fijeecs.v20.i2.pp805-812&partnerID=40&md5=fdbc7d424ba2abbf362f87350b2127ed
id 2-s2.0-85091567551
spelling 2-s2.0-85091567551
Othman N.A.; Damanhuri N.S.; Syafiq Mazalan M.A.; Shamsuddin S.A.; Abbas M.H.; Chiew Meng B.C.
Automated water quality monitoring system development via LabVIEW for aquaculture industry (Tilapia) in Malaysia
2020
Indonesian Journal of Electrical Engineering and Computer Science
20
2
10.11591/ijeecs.v20.i2.pp805-812
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091567551&doi=10.11591%2fijeecs.v20.i2.pp805-812&partnerID=40&md5=fdbc7d424ba2abbf362f87350b2127ed
Maintaining the quality of the water quality is one of the important aspects that play a substantial effect on the aquaculture industry especially in the tilapia industry. The quality of the water needs to be continuously monitored as any deviation from the allowed critical parameters such as water temperature and potential of hydrogen (pH) can cause unwanted scenarios such as disease, stress, higher mortality rate and profit loss. Currently, the monitoring process adopted by most fish breeders is done manually by using a portable sensor. This approach is found to be very tedious, ineffective use of manpower and time consuming particularly for the large-scale aquaculture industry. Hence, this research focuses on developing a simple, low-cost automated water quality monitoring system for the tilapia industry via LabVIEW software. The developed system will be able to monitor the parameter in real-time continuously with the capability of record and analyze each reading in a more efficient way. A data acquisition (DAQ) of NI myRIO-1900 is used as an interface between sensors and a monitoring station equipped with LabVIEW. Additionally, the developed system is equipped with an alarm system to alert the user when any deviation of the parameters occurs. Result shows that the system has a small range of average relative error of 4.28% and 6.22% for temperature and pH level respectively as compare to the portable sensor. Note that the errors are down to the selection of sensors. Furthermore, the developed prototype of the monitoring system has advantages in terms of its flexibility in extending the system with more sensors and allows a longer period of data collection without human intervention. The system is also upgradable with the integration of a control element to control the parameter when the monitored parameter is exceeded the threshold value. Succinctly, the system offers lots of advantages to the aquaculture industries with further improvement leads to better performance. Copyright © 2020 Institute of Advanced Engineering and Science. All rights reserved.
Institute of Advanced Engineering and Science
25024752
English
Article
All Open Access; Gold Open Access; Green Open Access
author Othman N.A.; Damanhuri N.S.; Syafiq Mazalan M.A.; Shamsuddin S.A.; Abbas M.H.; Chiew Meng B.C.
spellingShingle Othman N.A.; Damanhuri N.S.; Syafiq Mazalan M.A.; Shamsuddin S.A.; Abbas M.H.; Chiew Meng B.C.
Automated water quality monitoring system development via LabVIEW for aquaculture industry (Tilapia) in Malaysia
author_facet Othman N.A.; Damanhuri N.S.; Syafiq Mazalan M.A.; Shamsuddin S.A.; Abbas M.H.; Chiew Meng B.C.
author_sort Othman N.A.; Damanhuri N.S.; Syafiq Mazalan M.A.; Shamsuddin S.A.; Abbas M.H.; Chiew Meng B.C.
title Automated water quality monitoring system development via LabVIEW for aquaculture industry (Tilapia) in Malaysia
title_short Automated water quality monitoring system development via LabVIEW for aquaculture industry (Tilapia) in Malaysia
title_full Automated water quality monitoring system development via LabVIEW for aquaculture industry (Tilapia) in Malaysia
title_fullStr Automated water quality monitoring system development via LabVIEW for aquaculture industry (Tilapia) in Malaysia
title_full_unstemmed Automated water quality monitoring system development via LabVIEW for aquaculture industry (Tilapia) in Malaysia
title_sort Automated water quality monitoring system development via LabVIEW for aquaculture industry (Tilapia) in Malaysia
publishDate 2020
container_title Indonesian Journal of Electrical Engineering and Computer Science
container_volume 20
container_issue 2
doi_str_mv 10.11591/ijeecs.v20.i2.pp805-812
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091567551&doi=10.11591%2fijeecs.v20.i2.pp805-812&partnerID=40&md5=fdbc7d424ba2abbf362f87350b2127ed
description Maintaining the quality of the water quality is one of the important aspects that play a substantial effect on the aquaculture industry especially in the tilapia industry. The quality of the water needs to be continuously monitored as any deviation from the allowed critical parameters such as water temperature and potential of hydrogen (pH) can cause unwanted scenarios such as disease, stress, higher mortality rate and profit loss. Currently, the monitoring process adopted by most fish breeders is done manually by using a portable sensor. This approach is found to be very tedious, ineffective use of manpower and time consuming particularly for the large-scale aquaculture industry. Hence, this research focuses on developing a simple, low-cost automated water quality monitoring system for the tilapia industry via LabVIEW software. The developed system will be able to monitor the parameter in real-time continuously with the capability of record and analyze each reading in a more efficient way. A data acquisition (DAQ) of NI myRIO-1900 is used as an interface between sensors and a monitoring station equipped with LabVIEW. Additionally, the developed system is equipped with an alarm system to alert the user when any deviation of the parameters occurs. Result shows that the system has a small range of average relative error of 4.28% and 6.22% for temperature and pH level respectively as compare to the portable sensor. Note that the errors are down to the selection of sensors. Furthermore, the developed prototype of the monitoring system has advantages in terms of its flexibility in extending the system with more sensors and allows a longer period of data collection without human intervention. The system is also upgradable with the integration of a control element to control the parameter when the monitored parameter is exceeded the threshold value. Succinctly, the system offers lots of advantages to the aquaculture industries with further improvement leads to better performance. Copyright © 2020 Institute of Advanced Engineering and Science. All rights reserved.
publisher Institute of Advanced Engineering and Science
issn 25024752
language English
format Article
accesstype All Open Access; Gold Open Access; Green Open Access
record_format scopus
collection Scopus
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