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A Personalized Local Farming Marketplace
Subject area: Science,Engineering and Technology · Area of research: Software Engineering and Web Development
Abstract
This research paper presents the development and implementation of a personalized local farming marketplace aimed at bridging the gap between farmers and consumers. Using the MERN stack (MongoDB, Express.js, React.js, Node.js) and Firebase, this project delivers a user-friendly and scalable digital platform that supports product listings, real-time communication, and secure transactions. The system addresses the need for a localized, transparent, and direct supply chain, improving agricultural reach and empowering rural economies.
References
[1] MERN Stack Official Docs
[2] Firebase Documentation
[3] MongoDB Atlas Guides
[4] Tailwind CSS and React Docs
How to cite this paper
@article{1707982,
author = {Ayush Rohan, Bikram Das, Amrita Bhattacharjee },
title = {A Personalized Local Farming Marketplace},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {10},
pages = {785-786},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1707982.pdf},
abstract = {This research paper presents the development and implementation of a personalized local farming marketplace aimed at bridging the gap between farmers and consumers. Using the MERN stack (MongoDB, Express.js, React.js, Node.js) and Firebase, this project delivers a user-friendly and scalable digital platform that supports product listings, real-time communication, and secure transactions. The system addresses the need for a localized, transparent, and direct supply chain, improving agricultural reach and empowering rural economies.},
month = {April},
}