A hatchery pool treatment includes the monitoring of dissolved oxygen (DO) level, water salinity, water pH values and also the temperature. Studying DO is complex and requires caution, especially in tidal and productive ecosystems. Low DO availability leads to perturbations in the biochemical dynamics of ecosystems, as many chemical reactions require oxygen and all aerobic organisms depend on oxygen for survival. Meanwhile, salinity and water pH value are one of the most important environmental factors affecting the growth and survival of aquatic organisms, influencing both physiological and ecological processes. Also, most fishes are not able to control their body temperature to a significant degree, thus their metabolic rate varies directly with ambient temperatures.

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This project proposed the development of intelligent IoT based water quality monitoring and control system. The objectives are:

1. To develop a novel data logger system,

2. To implement an intelligent monitoring and control system that could optimise the water quality and predict when to feed the fishes,

3. To test the proposed work at Ko-Nelayan fish farms.

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Project duration: 2 years (2020 - 2022).

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Project members:

1. Mohd Hanafi Ahmad Hijazi (Project head), DaTA Research Group, FKI, UMS

2. Ismail Saad, FKJ, UMS

3. Chin Kim On, FKI, UMS

4. Chin Pei Yee, FKI, UMS

5. Ervin Gubin Moung, FKI, UMS

6. Ching Fui Fui @ Faihana Ching Abdullah, IPMB, UMS

7. Kenneth Teo Tze Kin, FKJ, UMS

8. Burhan Japar, Ko-Nelayan

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Please go to the project blog where the activities conducted are shared.

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