Intelligent Predictive Food Traceability Cyber Physical System in Agriculture Food Supply Chain

From the emerging technologies perspective, future advanced food traceability system must consider not only intelligent system needs such as cyber physical system (CPS) from the future internet perspectives but also intelligent behavior such as smart predictive business in food supply chain. However, CPS-based food traceability system also faces many new challenges such as communication efficiency, resource integration and system architecture. This article presents the proposed approach to develop novel intelligent predictive food traceability cyber physical system by using intuitionistic-based fuzzy case-based reasoning with enterprise architecture and value stream mapping method for simulation. Successful case study and experiment demonstrated the performance of the proposed approach. The proposed approach used for traceability performance predictive behavior can contribute to identify traceable objects in the CPS-based food traceability system that are sensitive to a broader range of intelligent food traceability.

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