Abstract
Agriculture plays a significant role in shaping the livelihood of rural communities, particularly by enabling better access to markets. This project presents the SmartFarm Marketplace, an intelligent platform that utilizes artificial intelligence and satellite imagery to bridge the gap between farmers and sellers. The system supports AI-based price prediction, crop advisory, and nutrient deficiency detection to assist farmers in making informed decisions. The application is developed using React (Vite) for the frontend and Node.js (Express) for backend operations, with MongoDB and external APIs for real-time data integration. By combining smart advisory features with a digital marketplace, the system improves farmer income, enhances transparency in pricing, and supports efficient agricultural practices. Overall, this project demonstrates the practical use of artificial intelligence in modern agriculture by integrating e-commerce, remote sensing, and intelligent decision-support systems into a single platform.
Keywords
Precision Agriculture, Smart Marketplace, AI Price Prediction, Google Earth Engine, Crop Advisory, Nutrient Deficiency Detection, E-commerce, React, Node.js, Fintech Integration, Remote Sensing.
Citations
IRE Journals:
Maladevi S, M. Asan Nainar "SmartFarm Marketplace – AI Based Digital Platform for Farmers" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 2342-2348 https://doi.org/10.64388/IREV9I9-1715454
IEEE:
Maladevi S, M. Asan Nainar
"SmartFarm Marketplace – AI Based Digital Platform for Farmers" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715454
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