A Blockchain and AI-Powered Digital Marketplace for Optimizing Agricultural Trade Efficiency and Farmer Empowerment

This paper addresses inefficiencies in agricultural trade resulting from intermediaries together with restricted direct market participation by farmers and volatile market prices. This paper proposes "A Blockchain and AI-Powered Digital Marketplace for Optimizing Agricultural Trade Efficiency and Farmer Empowerment" a mobile application that applies both Blockchain technology and artificial intelligence to directly link farmers with buyers while securing fair prices and full market access. Farmers can register, list, and manage their products, and buyers can find products by proximity to receive the supply. The application provides dynamic pricing based on demand and seasonality, multilingual accessibility through NLP, and blockchain for secure transactions. Moreover, farmers get real-time order notifications which help them arrange for delivery through self-pickup, courier, or postal service. The proposed system incorporates linear regression and random forest regression algorithms for pricing optimization, matrix factorization and SVD for recommendation systems, and supervised learning and anomaly detection for fraud detection contribute to a more productive, efficient and profitable agricultural ecosystem.

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Publication Details

Journal
International Research Journal on Advanced Science Hub
Published
2025-03-04
DOI
https://doi.org/10.47392/irjash.2025.016
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
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article

A Blockchain and AI-Powered Digital Marketplace for Optimizing Agricultural Trade Efficiency and Farmer Empowerment

G Janavarshini, R Hemadharshini, Nooril Afina T, Arthy Rajakumar
International Research Journal on Advanced Science Hub
Impact of AI and Big Data on Business and Society
article

A Blockchain and AI-Powered Digital Marketplace for Optimizing Agricultural Trade Efficiency and Farmer Empowerment

G Janavarshini, R Hemadharshini, Nooril Afina T, Arthy Rajakumar
article en

Abstract

This paper addresses inefficiencies in agricultural trade resulting from intermediaries together with restricted direct market participation by farmers and volatile market prices. This paper proposes "A Blockchain and AI-Powered Digital Marketplace for Optimizing Agricultural Trade Efficiency and Farmer Empowerment" a mobile application that applies both Blockchain technology and artificial intelligence to directly link farmers with buyers while securing fair prices and full market access. Farmers can register, list, and manage their products, and buyers can find products by proximity to receive the supply. The application provides dynamic pricing based on demand and seasonality, multilingual accessibility through NLP, and blockchain for secure transactions. Moreover, farmers get real-time order notifications which help them arrange for delivery through self-pickup, courier, or postal service. The proposed system incorporates linear regression and random forest regression algorithms for pricing optimization, matrix factorization and SVD for recommendation systems, and supervised learning and anomaly detection for fraud detection contribute to a more productive, efficient and profitable agricultural ecosystem.

International Research Journal on Advanced Science HubVol. 7(03)
Madurai Kamaraj University (IN)
Openalex Percentile: Top 96%
Impact of AI and Big Data on Business and Society
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A Blockchain and AI-Powered Digital Marketplace for Optimizing Agricultural Trade Efficiency and Farmer Empowerment — G Janavarshini, R Hemadharshini, et al. · International Research Journal on Advanced Science Hub (2025) | TGRS Research Map | TGRS