A Survey based Research for Data Mining Techniques to Forecast Water Demand in Irrigation


Author(s): Mr. Navtej Bhatt, Dr. P.V.Virparia

Data mining is an emerging technology in the recent decade. There are several application areas in which data mining is used widely. It is also useful in agriculture for various purposes. In this paper our focus is on the various techniques used to predict/forecast the water demand for agriculture purpose. The techniques discussed in the paper are Artificial Neural Network (ANN), Decision Tree (DT), Support Vector Machine (SVM), Evapotranspiration (ETc) and Systematically developed Forest (SysFor). Prediction of water demand is a very important factor that remains to be solved based on available data. The prediction of water demand can be done with the various data mining techniques.