%0 Journal Article
%T Application of fuzzy ID3 to forecast Seasonal Runoff
%A Chandar Sahu
%A Dr. B.S.Patel
%J International Journal of Computer Technology and Electronics Engineering
%D 2012
%I National Institute of Science Communication and Information Resources
%X 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
%K fuzzy logic
%K ID3
%K water supply
%K forecast.
%U http://www.ijctee.org/files/VOLUME2ISSUE1/IJCTEE_0212_35.pdf