Iot And Ml Approach For Ornamental Fish Behaviour Analysis

This study was conducted to find the behavioural changes in real-time water temperature and dissolved oxygen in ornamental fish tanks. The study used IoT sensors to monitor and regulate the water quality parameters, and two Bullet Network Cameras with night vision to record and detect the behaviour changes. The ranges of water temperature, pH and dissolved oxygen were 28-29 °C, 8.0-8.8 pH and 3.0-7.0 mg/L respectively. The results of the study will help in understanding the behaviour changes of fish due to change in water temperature and dissolved oxygen concentration, and how machine learning techniques and algorithms work.