• LEKSHMI O
• Subin Omanakuttan

Rainfall is recognized as one of the main important element of the hydrological process. Accurate rainfall forecasting will help in evaluating drought and flooding situations in advance. Therefore, it is significant to have a perfect model for rainfall forecasting. The country like India, where most of the farmers depend on monsoon for their crop, it is required to be having advance knowledge of actual rainfall. Many states of India also suffered from the flood whereas some states are facing the problem of drought. In any of these two situations, it must require an accurate and efficient rainfall prediction model. This kind of rainfall forecasting model will help in better handling worst situations generated due to flood or draught. Advance prediction of rainfall by this model also gives sufficient time to makes adequate arrangements for saving lives, transportation, procurement and supply of foods and medicines. In this paper, Convolutional Neural Network (CNN) technique has been used to develop forecasting models for rainfall prediction.

Convolutional Neural Networks, rainfall prediction, comparison

"A PINPOINT MODEL FOR RAINFALL PREDICTION USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.518-524, June 2019, Available :http://www.jetir.org/papers/JETIR1906V73.pdf

"A PINPOINT MODEL FOR RAINFALL PREDICTION USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp518-524, June 2019, Available at : http://www.jetir.org/papers/JETIR1906V73.pdf