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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Main Authors: Azlan Othman, Nor (Author), Salwa Damanhuri, Nor (Author), Syafiq Mazalan, Mohamad Amirul (Author), Addayani Shamsuddin, Sarah (Author), Hussaini Abbas, Mohd (Author), Chiew Meng, Belinda Chong (Author)
Other Authors: Universiti Teknologi MARA Cawangan Pulau Pinang and Ministry of Education Malaysia for providing research funding via Public- Private Research Network grant. Pn. Anita Ahmad, Managing Director of Aquatech Bio Resources Sdn. Bhd for giving the permission t (Contributor)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2020-11-01.
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100 1 0 |a Azlan Othman, Nor  |e author 
100 1 0 |a Universiti Teknologi MARA Cawangan Pulau Pinang and Ministry of Education Malaysia for providing research funding via Public- Private Research Network grant. Pn. Anita Ahmad, Managing Director of Aquatech Bio Resources Sdn. Bhd for giving the permission t  |e contributor 
700 1 0 |a Salwa Damanhuri, Nor  |e author 
700 1 0 |a Syafiq Mazalan, Mohamad Amirul  |e author 
700 1 0 |a Addayani Shamsuddin, Sarah  |e author 
700 1 0 |a Hussaini Abbas, Mohd  |e author 
700 1 0 |a Chiew Meng, Belinda Chong  |e author 
245 0 0 |a Automated water quality monitoring system development via LabVIEW for aquaculture industry (Tilapia) in Malaysia 
260 |b Institute of Advanced Engineering and Science,   |c 2020-11-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21897 
520 |a 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. 
540 |a Copyright (c) 2020 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690 |a Control systems Engineering 
690 |a Aquaculture; Automated; Data acquisition; LabVIEW; Water quality 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 20, No 2: November 2020; 805-812 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v20.i2 
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