Machine learning based forecasting model for rainfall prediction
Department of Mathematics, Centurion University of Technology and Management, Odisha, India.
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(01), 1678–1686
Publication history:
Received on 05 December 2023; revised on 14 January 2024; accepted on 17 January 2024
Abstract:
Weather forecasts can be performed by collecting large amount of data about the present condition of the environment. The state of atmosphere or environment can be the temperature, humidity and wind. The future can be determined by the atmosphere evolution and this evolution can be done through meteorology with understanding of atmospherically processes. The foundation stone of Indian economy is the agriculture, which depends on the rain. Hence, early prediction of rain is highly necessary in India for agriculture. In worldwide, rainfall prediction is one among the challenging issues. Here, varied and most popular machine learning models are utilized for forecasting the rainfall. The outcome from the model gives the centre of the weather forecasts for predicting that whether tomorrow will rain or not. The experimental results will compare and show that good level of accuracy with the help of machine learning algorithms.
Keywords:
Weather Forecasts; Rain Fall Prediction; Machine Learning Model; Logistic Regression; Decision Trees; Random Forest; Support Vector Machine
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0