Real-Time Water Quality Monitoring System with Predictor for Tilapia Pond

Water quality is the first most important limiting factor in pond fish production. It is also one of the most difficult production factor to understand, predict and manage. It is not just where the fish live; its quality directly affects growth rates, the fish's health and survival. Most fish kills, disease outbreaks, poor growth, poor feed conversion efficiency and similar management problems are directly related to poor water quality. The study and prediction of water quality is necessary to prevent serious problem that may occur during production period. In this study, water level, temperature, pH and DO levels are measured using Arduino microcontroller. User could receive information at predetermined intervals on preferred communication through SMS. Since integrating devices are comparatively not expensive; it usually consists of Arduino board, access to internet and relay frames and display system. With this integration system, farmer need not hire worker at their site, consequently drive down operating costs and improve efficiency. Prediction interface was developed using msSQL. The system was evaluated and it performs its intended function. In this study, segmented moving average prediction model was found to be effective in predicting water quality parameters.