e-ISSN : 0975-4024 p-ISSN : 2319-8613   
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ABSTRACT

ISSN: 0975-4024

Title : Rainfall Forecasting Using Data Mining Technique
Authors : M.Kannan, S.Prabhakaran, P.Ramachandran
Keywords : Rainfall forecasting, Karl Pearson coefficient, multiple linear regressions.
Issue Date : Dec 2010
Abstract :
Rainfall is important for food production plan, water resource management and all activity plans in the nature. The occurrence of prolonged dry period or heavy rain at the critical stages of the crop growth and development may lead to significant reduce crop yield. India is an agricultural country and its economy is largely based upon crop productivity. Thus rainfall prediction becomes a significant factor in agricultural countries like India. Rainfall forecasting has been one of the most scientifically and technologically challenging problems around the world in the last century.
Page(s) : 397-401
ISSN : 0975-4024
Source : Vol. 2, No.6