STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Advanced Database Management & Systems Original Research

Blockchain-Based Smart Agri-Food Supply Chain Management System with User-Centric Design for Enhanced Consumer Trust

  1. Agyo Raphael Baku Department of Information Systems Federal University
  2. Victoria Zevini Sabo Department of Cybersecurity, Federal University
  3. Anagu Emmanuel John Department of Cybersecurity, Federal University

Abstract

Existing blockchain-based solutions for agri-food supply chains primarily focus on internal traceability and efficiency while neglecting consumer-facing functionalities. Building consumer trust requires not only a secure and transparent supply chain but also user-friendly interfaces for easy access to product information and journey tracking. This study addresses this gap by implementing a blockchain-based agri-food supply chain system with a user-centric design. Beyond internal transparency, the system features an intuitive consumer interface that allows users to easily access product information. Consumers can readily access detailed information about a product, such as origin, production methods, and certifications. Track product journey to ensure data privacy while allowing consumers to verify key stages of the product’s journey through the supply chain. The system facilitates product authentication and fosters trust and brand loyalty among consumers. A literature review was conducted to assess the current state of blockchain technology in agri-food supply chain management. This study adopted an exploratory/experimental research design. Relevant sources such as Scopus, Web of Science, Google Scholar, and ScienceDirect were searched, key findings were synthesized, and gaps in the existing literature were identified. Ganache (Ethereum) served as the blockchain platform, Solidity programming language was used to develop a smart contract, and Remix IDE was used for testing and deployment of the smart contract. ReactJS, Node.js, and VSCode were used for user interface development. The Indian agriculture crop production data and Ondo State Cocoa and Cassava production data, sourced from Kaggle, were used. The proposed system demonstrates flexibility and improvement in managing agri-food supply chains and enhancing transparency, traceability, and trust across all stakeholders. Performance evaluation shows 0–500 transactions processed in 0–4 s, 0–10% latency, 0–5% block time creation, and 0–30% energy consumption. To facilitate widespread adoption, it is recommended to encourage the adoption of blockchain technology within the agri-food supply chain to enhance transparency, traceability, and efficiency.

Keywords

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