A Survey on Rainfall Analysis Using Big Data Analytics

7 Pages Posted: 25 Nov 2020 Last revised: 7 Jan 2021

See all articles by Govardhana Meti

Govardhana Meti

BGS Institute of Technology

Ravi Kumar G. K

BGS Institute of Technology

Date Written: November 21, 2020

Abstract

Precipitation is the meteorological wonder that has the best influence on human exercises. Precipitation is significantly aimed at food generation strategy, supervision of water source, altogether action tactics in the landscape. The occasion of postponed non-rainfall period or overpowering precipitation at the essential periods of the yield advancement may provoke basic diminishing in yield. The majority of India GDP is depending on crop productivity. This paper presents the various developments that have taken place on rainfall analysis from past many years. This paper describes the various methods of rainfall prediction over the years. This paper will also give a comparative study on the various rainfall prediction methods that are available for the prediction of future rainfall more accurately.

Keywords: Rainfall analysis, rainfall prediction, rainfall forecasting, big data analytics, predictive analytics, artificial intelligence, machine learning, decision tree algorithm.

Suggested Citation

Meti, Govardhana and G. K, Ravi Kumar, A Survey on Rainfall Analysis Using Big Data Analytics (November 21, 2020). Proceedings of the 2nd International Conference on IoT, Social, Mobile, Analytics & Cloud in Computational Vision & Bio-Engineering (ISMAC-CVB 2020), Available at SSRN: https://ssrn.com/abstract=3734736 or http://dx.doi.org/10.2139/ssrn.3734736

Govardhana Meti (Contact Author)

BGS Institute of Technology ( email )

mandya
India

Ravi Kumar G. K

BGS Institute of Technology ( email )

mandya
India

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
35
Abstract Views
159
PlumX Metrics