Prediction of water quality evaluation for fish ponds of aquaculture

This study used a regression method to build model for predicting water quality for the fish pond. From aquaculture practitioners' point of view, how to effectively control the water quality for the fish pond is very important. In basis of the experience of aquaculture practitioners, temperature, pH, conductivity, salinity, and last monitored oxygen content influence the water quality (here, called influencing factor). Life and death of fish are determined by water quality as well as water quality is decided by oxygen content. Therefore, the evaluation of the water quality is according to oxygen content. Regression method is often used for statistical analysis and prediction. In regression method, model is established by dependent variables and independent variables. In this study, the five influencing factors are represented as independent variables and the oxygen content is seen as dependent variable. From the experimental result, the oxygen content can be kept in the reasonable range.