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1715454 Vol 9 · Issue 9 Download Paper

SmartFarm Marketplace – AI Based Digital Platform for Farmers

Maladevi S M. Asan Nainar

Subject area: Science,Engineering and Technology  ·  Area of research: Agriculture

DOI: 10.64388/IREV9I9-1715454

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.

References

[1] S. Kumar and R. Gupta, “Deep learning-based agricultural price prediction for market sustainability,” IEEE Access, vol. 9, pp. 45612–45625, 2021.

[2] J. Zhang and M. Li, “IoT-based smart farming framework for agricultural product marketplace,” Journal of Agricultural Systems, vol. 185, pp. 1029–1038, 2020.

[3] A. Smith and B. Brown, “Remote sensing and NDVI-based soil moisture monitoring for precision agriculture,” International Journal of Remote Sensing, vol. 43, no. 12, pp. 4501–4515, 2022.

[4] Y. Chen and H. Wang, “Recommender systems for agricultural inputs using machine learning and collaborative filtering,” Computers and Electronics in Agriculture, vol. 162, pp. 234–245, 2019.

[5] X. Liu and Q. Zhao, “Blockchain-enabled supply chain transparency in agricultural e-commerce platforms,” IEEE Transactions on Industrial Informatics, vol. 19, no. 4, pp. 5678–5689, 2023.

[6] R. Patel and V. Singh, “Multilingual farmer support systems using natural language processing for regional languages,” Journal of Rural Development, vol. 40, no. 3, pp. 112–125, 2021.

[7] M. Garcia and F. Lopez, “Deep neural networks for crop disease and pest identification in smart farming,” IEEE Transactions on Agri-Food Electronics, vol. 1, no. 2, pp. 89–98, 2022.

[8] L. Tan and S. Wu, “Edge computing architecture for real-time sensor monitoring in precision agriculture,” ACM Transactions on Internet of Things, vol. 1, no. 4, pp. 1–18, 2020.

[9] P. Sharma and K. Verma, “Hybrid LSTM-CNN models for long-term agricultural commodity price forecasting,” Expert Systems with Applications, vol. 235, p. 121156, 2024.

[10] J. Zhao and W. Xu, “Integration of Google Earth Engine and IoT for agricultural drought assessment and irrigation planning,” Remote Sensing, vol. 13, no. 15, p. 2984, 2021.

How to cite this paper

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
Maladevi S, M. Asan Nainar "SmartFarm Marketplace – AI Based Digital Platform for Farmers" Iconic Research And Engineering Journals, vol. 9, no. 9, Mar. 2026, doi: https://doi.org/10.64388/IREV9I9-1715454
Maladevi S, M. Asan Nainar (2026). SmartFarm Marketplace – AI Based Digital Platform for Farmers. Iconic Research And Engineering Journals, 9(9). doi: https://doi.org/10.64388/IREV9I9-1715454
Maladevi S, M. Asan Nainar "SmartFarm Marketplace – AI Based Digital Platform for Farmers" Iconic Research And Engineering Journals, vol. 9, no. 9, Mar. 2026. Crossref, https://doi.org/10.64388/IREV9I9-1715454
@article{1715454,
      author = {Maladevi S, M. Asan Nainar},
      title = {SmartFarm Marketplace – AI Based Digital Platform for Farmers},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {9},
      pages = {2342-2348},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1715454.pdf},
      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.},
      month = {March},
      doi = {https://doi.org/10.64388/IREV9I9-1715454}
  }