Design and Implementation of Water Quality Control and Monitoring Devices in a Small-Scale Aquaculture System

Paper Details

Research Paper 04/12/2022
Views (496) Download (85)

Design and Implementation of Water Quality Control and Monitoring Devices in a Small-Scale Aquaculture System

Jamali A. Nagamora, Leo Rey S. Sagun, Rosalie Vertudes, Jeffrey Ken B. Balangao, Abdul Halil S. Abdullah II
Int. J. Biosci.21( 6), 91-105, December 2022.
Certificate: IJB 2022 [Generate Certificate]


To sustain an aquaculture system, one of the focus is on monitoring and controlling of water quality parameters. This study aimed at designing water quality control and monitoring system to be integrated and implemented in a developed small-scale aquaculture system. In this work, the necessary requirements needed for fish growth and development such as pH, salinity, ammonia and algae contents were being considered in developing different sensors for monitoring and control. The outcome of this work indicated the design and performance evaluation of the different sensors used to monitor and control the water parameters in the system. The implemented functionalities were able to monitor and maintain the pH, salinity, ammonia and algae contents in the aquaculture system. It can be recommended to also integrate in the system other water quality parameters such as oxidation-reduction potential, water hardness, nitrites and nitrates, among others.


Hu Z, Zhang Y, Zhao Y, Xie M, Zhong J, Tu Z, Liu J. 2019. A water quality prediction method based on the deep LSTM network considering correlation in smart mariculture. Sensors 19(6), 1420.

Eze E, Ajmal T. 2020. Dissolved oxygen forecasting in aquaculture: a hybrid model approach. Applied Sciences 10(20), 7079.

Vo TTE, Ko H, Huh JH, Kim Y. 2021. Overview of smart aquaculture system: Focusing on applications of machine learning and computer vision. Electronics 10(22), 2882.

Rashid M, Nayan AA, Rahman M, Simi SA, Saha J, Kibria MG. 2021. IoT based smart water quality prediction for biofloc aquaculture. International Journal of Advanced Computer Science and Applications 12(6), 56-62.

Sharma D, Kumar R. 2021. Smart Aquaculture: Integration of Sensors, Biosensors, and Artificial Intelligence. In Biosensors in Agriculture: Recent Trends and Future Perspectives (455-464 p). Springer, Cham.

Ullah I, Kim DH. 2018. An optimization scheme for water pump control in smart fifish farm with effificient energy consumption. Processes 6(6), 65.

Imai T, Arai K, Kobayashi T. 2019. Smart aquaculture system: A remote feeding system with smartphones. In 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT) (93-96 p). IEEE.

Kassem T, Shahrour I, El Khattabi J, Raslan A. 2021. Smart and Sustainable Aquaculture Farms. Sustainability 13, 685.

Tsai KL, Chen LW, Yang LJ, Shiu HJ, Chen HW. 2022. IoT based Smart Aquaculture System with Automatic Aerating and Water Quality Monitoring. Journal of Internet Technology 23(1), 177-184.

Nagamora JA, Angeles SCH, Vertudes R, Balangao JKB, Abdullah II AHS. 2022. An Assessment of the Control and Monitoring Functionalities of a Developed Small-Scale Aquaculture System. International Journal of Biosciences 21(4), 89-100.

Ab Aziz MA, Abas MF, Bashri MKAA, Saad NM, Ariff MH. 2019. Evaluating IoT based passive water catchment monitoring system data acquisition and analysis. Bulletin of Electrical Engineering and Informatics 8(4), 1373-1382.

Balakrishnan S, Rani S, Ramya KC. 2019. Design and development of IoT based smart aquaculture system in a cloud environment. International Journal of Oceans and Oceanography 13(1), 121-127.

Mustafa, FH, Bagul, AHBP, Senoo SS, Shapawi R. 2016. A review of smart fish farming systems. Journal of Aquaculture Engineering and Fisheries Research 2(4), 193-200.