Forecasting Weather Status Using Advanced Machine Learning Algorithm

Karuppusamy S., Soundarraj S., Vasanth P., Vijayasankar T.

2025

Abstract

Weather forecasting in agriculture is, indeed, rather difficult because the whole area is so dynamic and variable. Conventional statistical approaches usually cannot provide excellent precision, and this makes it a challenge for farmers to be and plan effective. The project concentrates on an accurate temperature prediction mechanism, with the application of machine learning methods, which includes the analysis of past as well as current-day weather data to increase the reliability of predictions. Despite advances in forecasting techniques, challenges remain, especially, in the areas of improving the accuracy of models, validating climate forecasts in agricultural risk management, and their effect on crop diseases seasonally. As temperature and rainfall are the two most crucial factors influencing plant health and production, the only advanced predictive system available may provide farmers with insightful decisions in preventing losses. This project, therefore, aims at an integrated assessment of weather forecasting techniques to improve agricultural planning strategies and climate adaptation via data-driven approaches.

Paper Citation

in Harvard Style

S. K., S. S., P. V. and T. V. (2025). Forecasting Weather Status Using Advanced Machine Learning Algorithm. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 351-356. DOI: 10.5220/0013929800004919

in Bibtex Style

@conference{icrdicct`2525,
author={Karuppusamy S. and Soundarraj S. and Vasanth P. and Vijayasankar T.},
title={Forecasting Weather Status Using Advanced Machine Learning Algorithm},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={351-356},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013929800004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Forecasting Weather Status Using Advanced Machine Learning Algorithm
SN - 978-989-758-777-1
AU - S. K.
AU - S. S.
AU - P. V.
AU - T. V.
PY - 2025
SP - 351
EP - 356
DO - 10.5220/0013929800004919
PB - SciTePress