Blockchain-Based Framework for Agri-Food Supply Chain Traceability

The agri-food industry faces increasing demands for transparency and accountability due to concerns over product safety and sustainability. Current traceability systems often fall short due to fragmented data, potential inaccuracies, and limited scalability. This research proposes a novel blockchain-based framework to address these challenges. The proposed framework features a multi-layered architecture, dividing the system into distinct layers for data storage, consensus mechanisms, and user interactions. A comprehensive literature review was conducted using academic databases (e.g., Scopus, Web of Science) and industry reports to identify existing research on blockchain technology, agri-food supply chains, and traceability. Key search terms included "blockchain," "agri-food," "traceability," "transparency," and "privacy." The identified research was analyzed to identify the key challenges and opportunities in agri-food traceability. A detailed analysis of the existing systems was conducted to understand their limitations and potential improvements. Based on the analysis, a blockchain-based framework was designed. The framework incorporates a multi-layered architecture, including a data layer, consensus layer, and application layer. Parallel side chains and zero-knowledge proofs were integrated to enhance scalability and privacy. The proposed framework was modeled using the Unified Modeling Language (UML) to visualize the system's components, relationships, and interactions. Microsoft Visio was used as a modeling tool to create diagrams and visualize the system's architecture. Key Contributions includes a robust and scalable blockchain-based framework for agrifood traceability, a multi-layered architecture that addresses the specific needs of the agri-food industry, the use of zero-knowledge proofs to enhance privacy and trust and a comprehensive system design based on a rigorous methodology. Keywords: blockchain, agri-food supply chain, traceability, transparency, privacy, zero-knowledge proofs, OOAD, system design.