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{205084,
author = {Aayush More and Mayur Chavan and Atharv Ingale and Harshada Avhad and Varsha Bombe and Swati Firame},
title = {Green Genie: A Smart Farming Platform Using AI and Mobile Technology},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {1},
pages = {5788-5795},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=205084},
abstract = {Green Genie is an innovative smart farming platform developed to address the challenges faced by farmers due to fragmented agricultural resources and lack of timely information. The system aims to improve agricultural productivity and decision-making by providing an integrated digital environment where users can detect crop diseases, receive AI-based crop recommendations, access real-time weather updates, and participate in a digital marketplace for buying, selling, and renting agricultural products. The platform tackles major issues such as limited awareness of modern farming techniques, inaccurate crop selection, and lack of fair pricing in markets. By integrating Artificial Intelligence, mobile technology, and cloud services, Green Genie delivers a structured, user-friendly, and efficient solution tailored for farmers with varying levels of digital literacy. The system is developed using Flutter for the frontend and Python for backend processing, with Firebase used for secure data storage and real-time services. Each user farmer, buyer, and administrator is provided with a role-based dashboard offering customized features and functionalities. The modern and intuitive interface ensures ease of use and accessibility across multiple devices. Green Genie not only enhances communication between stakeholders but also promotes sustainable agricultural practices through intelligent insights and automation. By improving access to information, reducing manual effort, and enabling smart decision-making, the system contributes toward the vision of digital agriculture and farmer empowerment. This project demonstrates how advanced technologies can be effectively utilized to transform traditional farming into a more efficient, scalable, and data-driven ecosystem.},
keywords = {Green Genie, Smart Farming, Artificial Intelligence, Crop Disease Detection, Flutter, Firebase, Digital Agriculture, Marketplace, Farmer Empowerment, Sustainable Farming Smart Farming, Artificial Intelligence, Flutter, Firebase, Crop Detection, Agriculture Technology},
month = {June},
}
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