Food Safety Transparency And Traceability System Based On ML Enabled Blockchain using Design Thinking

Abstract

The food supply chain is the most complex and fragmented of all supplychains. The production is found all over the world both on land and inwater. A lot of the producers and intermediaries are difficult to identifyand track. For all the participants in the production chain this createsuncertainty and risk. Mitigating this uncertainty comes at a cost, and theoutcome may still be insufficient.Examples of problems that have been difficult or impossible to solvewith current technologies include establishing reliable provenance andpreventing fraud and counterfeiting. These issues can have knock-oneffects on public health and the environment, and reduce financial costs ofunnecessary recalls of food products. To overcome the above challenges, a ML enabled blockchain–cloud-based food traceability system (MBCFTS) is proposed in this project, to achieve the following: (i)to design a blockchain-based FSC framework to provide product traceability, which guarantees decentralizedsecurity for the food product tracing data in FSCs. (ii) to integrate blockchain and cloud technology for effective and efficient traceability, and (iii) to support shelf-life adjustment and quality decay evaluation for improving quality assurance. For the sake of better computational load, the blockchain is modified as a lightweight blockchain to be associated with cloud computing to support IoT monitoring, and can be vaporized after the entire life cycle of traceability to release computational resources of the system. Therefore, the proposed traceability model is extended to the modern food supply chain environment, resulting in reliable and intelligent monitoring, food tracking, and quality assurance.