Rainfall Predicticion Using Machine Learning

The ability to forecast rainfall is very important for farmers, as India’s economy relies on successful crops and rain. Ifrainfall is accurately predicted, planning how to use water and grow crops becomes much easier. The research aims toestablish ways to use mining techniques and science to predict the chances of rainfall. In predicting rainfall, researchersuse data mining algorithms which include Random Forest, K-Nearest Neighbours, Logistic Regression, Support VectorMachines (SVM) and Decision Trees. The research investigates the algorithms to choose the one most accurate forforecasting rainfall.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-25
DOI
https://doi.org/10.5281/zenodo.15510436
Primary Topic
Hydrological Forecasting Using AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Rainfall Predicticion Using Machine Learning

Zenodo (CERN European Organization for Nuclear Research)
Hydrological Forecasting Using AI
article

Rainfall Predicticion Using Machine Learning

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Abstract

The ability to forecast rainfall is very important for farmers, as India’s economy relies on successful crops and rain. Ifrainfall is accurately predicted, planning how to use water and grow crops becomes much easier. The research aims toestablish ways to use mining techniques and science to predict the chances of rainfall. In predicting rainfall, researchersuse data mining algorithms which include Random Forest, K-Nearest Neighbours, Logistic Regression, Support VectorMachines (SVM) and Decision Trees. The research investigates the algorithms to choose the one most accurate forforecasting rainfall.

Zenodo (CERN European Organization for Nuclear Research)
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Hydrological Forecasting Using AI
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Rainfall Predicticion Using Machine Learning · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS