Publication:
IoT Based Smart Betta Fish Monitoring system with fish fatality prediction.
IoT Based Smart Betta Fish Monitoring system with fish fatality prediction.
Date
2023-01-01
Authors
Julida N.L.
Othman S.M.
Mohd Nasir Ayob
Rahim N.A.
Siti Nurul Aqmariah Mohd Kanafiah
Muhamad Safwan Muhamad Azmi
Hashim M.S.M.
Talib M.T.M.
Khalid N.S.
Journal Title
Journal ISSN
Volume Title
Publisher
Research Projects
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Abstract
This study enlightens the importance of rearing water quality to Betta fish health. A water quality monitoring system was developed based on water quality parameters namely water pH, temperature (°C) and TDS level (ppm). Fuzzy Logic Algorithm was applied to predict the possibility of the fish to get infected by the disease using combination of the water quality parameters value. Graphical User Interface (GUI) was developed to test the efficiency of the fish disease prediction system using fuzzy logic algorithm before the fuzzy rule been embedded to the IOT system. Arduino Uno Wi-Fi R2.0 and Blynk Apps used for enabling the system to update the aquarium water quality to owner in real-time. Hydroponic technology implemented in this project for recirculate rearing water inside the fish tank. Theoretically, the aquaponic system will help regulate the water tank parameters in optimum range and Betta Splendens should be free from all diseases.