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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM49530

Farm Mart: Price Prediction Using Machine Learning

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM49530

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM49530

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.

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Authors

PAK

Patil Aniket Krishna

PNB

Pawase Nilima Babasaheb

SSN

Salunke Shrutika Nilkanth

VPR

Vatharkar Pragati Rahul

{TSD

{Faculty}** Tanuja Shrikant Dhage

SSB

Sachin Sukhadeo Bere

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Abstract

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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Cite This Article

Patil Aniket Krishna, Pawase Nilima Babasaheb, Salunke Shrutika Nilkanth, Vatharkar Pragati Rahul, {Faculty}** Tanuja Shrikant Dhage, Sachin Sukhadeo Bere, "Farm Mart: Price Prediction Using Machine Learning," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/IJSREM49530

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Publication Date

4/5/2025

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Double-Blind Peer Review

Review Rounds: 2

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