Rainfall Prediction based on Rainfall Statistical Data

Main Article Content

Dr. Dayanand. G. Savakar, Dr. Anami.B.S, Dr. Venkatesh, R. R. Rohidekar

Abstract

The paper describes the development of a system to provide information on rainfall characteristics of rainfall and its prediction from the historical data sets, and selection of crops based on the forecast on taluka basis, with a case study of Bijapur district of Karnataka State, India. The analysis of rainfall viz. month wise, Nakshatra-wise, week-wise and year-wise is carried out. The developed system, evolved from the analysis of 20 years’ rainfall data collected from the Agricultural Research Station, Bijapur is very useful to agrometeorologists. The performance of the prediction system is encouraging and the accuracy of the prediction varies between 80% and 90%.

Article Details

How to Cite
, D. D. G. S. D. A. D. V. R. R. R. (2016). Rainfall Prediction based on Rainfall Statistical Data. International Journal on Recent and Innovation Trends in Computing and Communication, 4(3), 270–275. https://doi.org/10.17762/ijritcc.v4i3.1875
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Articles