AQUACISION: a multiparameter aquaculture water quality ester and decision support system

The paper presents a multiparameter aquaculture water quality tester with a decision support system. A device was developed to aid aquaculture farmers in monitoring water quality parameters and maintaining or achieving optimal levels by suggesting ways on how a farmer can respond to such measurement...

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Main Authors: Lazo, Mark Anthony A. (Author), Geronimo, Louise Mark Kit S. (Author), Comilang, Lester John T. (Author), Cayme, Kenneth John B. (Author), Ventura, Jay M. (Author), Abana, Ertie C. (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2021-10-01.
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001 ijeecs24416_15577
042 |a dc 
100 1 0 |a Lazo, Mark Anthony A.  |e author 
100 1 0 |e contributor 
700 1 0 |a Geronimo, Louise Mark Kit S.  |e author 
700 1 0 |a Comilang, Lester John T.  |e author 
700 1 0 |a Cayme, Kenneth John B.  |e author 
700 1 0 |a Ventura, Jay M.  |e author 
700 1 0 |a Abana, Ertie C.  |e author 
245 0 0 |a AQUACISION: a multiparameter aquaculture water quality ester and decision support system 
260 |b Institute of Advanced Engineering and Science,   |c 2021-10-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/24416 
520 |a The paper presents a multiparameter aquaculture water quality tester with a decision support system. A device was developed to aid aquaculture farmers in monitoring water quality parameters and maintaining or achieving optimal levels by suggesting ways on how a farmer can respond to such measurements. The AQUACISION device measures six different water quality parameters; temperature, practical salinity, pH level, total dissolved solid (TDS), oxidation-reduction potential (ORP), and algae density. Measurements were sent to the AQUACISION application where they were processed to determine the course of action that was best to maintain or achieve optimal levels using fuzzy rules. Based on the comparative result, the AQUACISION was accurate in measuring temperature, practical salinity, pH level, TDS, and ORP during the actual testing. The application also received an excellent rating on the ISO/IEC 25010 software quality model standard 
540 |a Copyright (c) 2021 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690 |a computer engineering; aquaculture; sensors 
690 |a Algae density; Aquaculture; Practical salinity; Temperature; 
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 24, No 1: October 2021; 530-537 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v24.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/24416/15577 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/24416/15577  |z Get fulltext