Implementation of Effective Rainfall Forecast Model using Machine Learning

Rainfall has a significant impact on hydrology and meteorology. To manage resources and make in advance plans to conserve water resources, rainfall prediction is helpful. When predicting rainfall using an existing dataset, machine learning algorithms are equally significant. Data about rainfall is g...

Full description

Saved in:
Bibliographic Details
Published in2023 4th International Conference on Smart Electronics and Communication (ICOSEC) pp. 1655 - 1660
Main Authors Balamurugan, Kavitha, A., Jose Anand, B., Rammya, R., Dinesh Kumar, K., Kalanithy, N., Mathan J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 20.09.2023
Subjects
Acccuracy
C Language
Machine Learning
Machine learning algorithms
Mathematical models
MATLAB
Predictive models
Rain
Rainfall Prediction
Real-time systems
Software
Wind speed
Online AccessGet full text
DOI10.1109/ICOSEC58147.2023.10275838

Cover

More Information
Summary:Rainfall has a significant impact on hydrology and meteorology. To manage resources and make in advance plans to conserve water resources, rainfall prediction is helpful. When predicting rainfall using an existing dataset, machine learning algorithms are equally significant. Data about rainfall is gathered from the KAGGLE website. contains rainfall data that has been collected throughout the past 100 years (1901-2015). Information is recorded and gathered all around India. Using MATLAB software, we developed a system that can forecast rainfall in Tamil Nadu based on this data.
DOI:10.1109/ICOSEC58147.2023.10275838