Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{196421,
author = {Piyush Sandeep Bhojane and Saloni Santosh Patil and Sakshi Sharad Bangar},
title = {Agro-Intelligence: A Digital Platform for Real-Time Market Access and Weather Insights to Empower Farmers},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {4194-4197},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=196421},
abstract = {Agriculture remains a fundamental sector contributing to economic development, yet farmers face numerous chal-lenges due to climate variability and unpredictable mar-ket dynamics. This study introduces Agro-Intelligence, an advanced digital solution designed to provide timely weather updates and agricultural market insights. The system leverages Artificial Intelligence (AI), Machine Learning (ML), and data-driven techniques to deliver accurate predictions and assist in decision-making. By integrating multiple APIs and presenting information through a web-based interface developed using PHP, HTML, and CSS, the platform ensures ease of use and accessibility. The proposed system aims to enhance productivity, minimize uncertainties, and support farmers in adopting modern, data-centric agricultural practices.},
keywords = {Agro-Intelligence, Smart Farming, Artificial Intelligence, Weather Forecasting, Data Analytics, PHP Digital Plat-form},
month = {April},
}
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