Ravindra Nath¹, Devraj²*, Meenakshi Malik³, Vibhushit Katiyar⁴, Gaurav Sharma⁵ and Nikita Singh⁶

¹Associate Professor, BBAU Central University, Lucknow (U.P.), India
²Principal Scientist, ICAR-Indian Institute of Pulses Research, Kanpur (U.P.), India
³Scientist, ICAR-National Research Institute for IPM, New Delhi, India
⁴Student, Department of Computer Science, B.Tech. (CS), Lovely Professional University, Jalandhar (Punjab), India
⁵Assistant Professor, School of Computing and Artificial Intelligence, Lovely Professional University, Jalandhar (Punjab), India
⁶Young Professional-II, ICAR-Indian Institute of Pulses Research, Kanpur (U.P.), India

*Corresponding Author: Devraj, Principal Scientist, ICAR-Indian Institute of Pulses Research, Kanpur (U.P.), India.

Received: August 18, 2026; Published: September 28, 2026

Abstract

The Minimum Support Price (MSP) system is essential for safeguarding farmers’ income; however, existing agricultural trading mechanisms often suffer from limited transparency, delayed payments, and intermediary-driven inefficiencies. This study presents AgriTradeConnect, a blockchain-enabled and AI-driven digital platform designed to facilitate secure, transparent, and efficient MSP-based agricultural trade. The platform integrates farmers, buyers, procurement agencies, and regulatory authorities through a unified web-based ecosystem. Blockchain technology ensures immutable transaction records and end-to-end traceability, while AI-based analytics provide real-time market insights and decision support. The system supports crop listing, MSP verification, transaction monitoring, and automated payment processing. A prototype implementation demonstrated improved transparency, faster transaction processing, reduced disputes, and enhanced stakeholder trust compared with conventional trading practices. The proposed framework offers a scalable and farmer-centric solution for modernizing MSP procurement, strengthening digital governance, and promoting fair and efficient agricultural marketing.

Keywords: Agriculture; AI-Driven Digital Platform; Minimum Support Price (MSP); Blockchain; Crop Trade; Transparency; Farmers Empowerment

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Citation

Citation: Devraj, et al. “AgriTradeConnect: A Blockchain-Enabled and AI-Driven Platform for Transparent MSP-Based Agricultural Trade". Acta Scientific Agriculture 10.7 (2026): 14-21.

Copyright

Copyright: © 2026 Devraj, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.