A Study of Different Data Mining Techniques used for Rainfall Prediction

Abstract: Agriculture is the backbone of Indian economy, in India irrigation facility is still not so good and most of agriculture sector depends upon the rain. So the Indian economy depends upon the agriculture Sector. Early prediction of rainfall is necessary for the better economic growth of our country so rainfall plays an important role in agriculture sector. Also the early prediction of rainfall is necessary for the different areas as like ongoing project, Transportation, developing the different infrastructure in our country, scientific research etc. Rainfall prediction become one of the most scientifically and technologically challenging task in the world. Unlike the use of different traditional methods, the modern Weather forecasting consisting of the combination of knowledge of trends and patterns with different weather forecasting models. There are different rainfall forecast methods are available such as the Empirical method and dynamic method. The rainfall analysis based on historical data by using empirical methods and its relationship is different for atmospheric and oceanic variables. The most of empirical approaches used for climate prediction are regression, artificial neural network, and Sensor-Based, Numerical weather prediction model