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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM49530
Volume:
9 |
6 |
Jun 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The agricultural sector in India is characterized by unpredictable price fluctuations, lack of market transparency, and limited digital resources for farmers. Farm Mart is an innovative digital platform designed to bridge this gap by providing farmers with a direct-to-consumer marketplace. The system integrates machine learning-based price prediction models to forecast future crop prices. By combining robust backend architecture with intelligent analytics, Farm Mart empowers farmers to make informed selling decisions, reduces dependence on intermediaries, and enhances the overall agricultural supply chain efficiency. This paper discusses the system’s design, implementation, and evaluation while comparing its performance with existing platforms like Krish-Bazar.
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Publication Date
4/5/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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