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Survey Paper | Computer Science & Engineering | India | Volume 6 Issue 6, June 2017

A Survey on Ensemble Computing Method for Rainfall Prediction in Different Regions of Chhattisgarh

Shahista Navaz ^[2] | Huma Khan ^[4] | Dr. S. M. Ghosh ^[2]

Abstract: India is an agricultural country and most of economy of India depends upon the agriculture. Rainfall plays an important role in agriculture so early prediction of rainfall is necessary for the better economic growth of our country. Rainfall Forecasting is one of the most challenging topics across the globe. Unlike traditional methods, modern Weather forecasting involves a combination of knowledge of trends and patterns and computer models. Using these methods, accurate forecasting could be done. Forecasting System is based on any architecture or technology such as Artificial Neural Network Forecasting, Sensor-Based, Numerical weather prediction model, Fuzzy sub-system or a used friendly web based system. The weather predictions in advance of 2-8 days are also possible. Forecasting could be carried out globally or region based. This paper represents a review of different rainfall prediction techniques for the early prediction of rainfall prediction of rainfall. It also focuses on giving different ways to forecast the weather in different regions. The paper presents the review of Rainfall Forecasting using different techniques and studies the benefit of using them. It provides a survey of available literature of some techniques given by different researchers. The technical success, that have been achieved by various researchers in the field of rainfall forecasting, has been reviewed and presented in this survey paper.

Keywords: NN, SVM, ANN, ARIMA, K-NN, Nave Bayesian, Regression, ID3, WEKA tools

Edition: Volume 6 Issue 6, June 2017,

Pages: 19 - 25

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