AI-Driven Platform for Crop Optimization, Weather Forecasting and Agricultural Innovation

B. Sribharathi, V. Cibirajan, S. Harikishore, S. Sakthivel, B. Thulasidharan

2025

Abstract

Agriculture is one of the most difficult domains, because of the uncertainty introduced by the weather, resource management and variability in soil. This article presents a machine learning driven web application designed to provide predictive insights in farming to empower farmers. Users enter information such as location, soil type, and land area, and the system produces tailored weather forecasts, crop suggestions, and financial estimates. Utilizing cutting-edge machine learning technology, the app recognizes future weather trends and recommends crops best suited for the soil and projected conditions. There is also a built-in chatbot that gives advice on crop choice and cultivation timelines and cost-profit analysis, so it’s simple, for both experienced and newer farmers, to take a call. Piloting of this methodology indicates it can enhance yield potential, minimize risks, and contribute to sustainable farming approaches. The aim is to use AI to improve agricultural productivity, resource efficiency and data-driven decision-making in the field the future of precision farming.

Paper Citation

in Harvard Style

Sribharathi B., Cibirajan V., Harikishore S., Sakthivel S. and Thulasidharan B. (2025). AI-Driven Platform for Crop Optimization, Weather Forecasting and Agricultural Innovation. 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 304-311. DOI: 10.5220/0013897100004919

in Bibtex Style

@conference{icrdicct`2525,
author={B. Sribharathi and V. Cibirajan and S. Harikishore and S. Sakthivel and B. Thulasidharan},
title={AI-Driven Platform for Crop Optimization, Weather Forecasting and Agricultural Innovation},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={304-311},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013897100004919},
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 - AI-Driven Platform for Crop Optimization, Weather Forecasting and Agricultural Innovation
SN - 978-989-758-777-1
AU - Sribharathi B.
AU - Cibirajan V.
AU - Harikishore S.
AU - Sakthivel S.
AU - Thulasidharan B.
PY - 2025
SP - 304
EP - 311
DO - 10.5220/0013897100004919
PB - SciTePress