Application of fuzzy ID3 to forecast Seasonal Runoff

Agriculture in India has a significant history. Today, India ranks second worldwide in farm output. Agriculture and allied sectors like forestry and fisheries accounted for 16.6% of the Gross Domestic Products(GDP) in 2009, about 50% of the total workforce. But most of farmers are depend on the seasonal weather conditions for agriculture issues. And if farmer’s lands are captivities thus the water supply management also needs this forecast to plan water allocations for the following summer season. This paper propose a hybrid forecasting technique that is combination of fuzzy logic and Iterative Dichotomizer (ID3) data mining algorithm. That forecast seasonal runoff on the basis of daily whether conditions