Interoperable Traceability in Agrifood Supply Chains: Enhancing Transport Systems Through IoT Sensor Data,
Giovanni Farina1, Alexander Kocian2, Gianluca Brunori2
1Department of Engineering, Niccolò Cusano University, 00166 Rome, Italy.
Sensors (Basel, Switzerland)
|September 19, 2025
Summary
This study introduces interoperable traceability to enhance supply chain transparency and efficiency. It enables secure data exchange between diverse systems for improved quality and safety in transportation and agri-food sectors.
Area of Science:
- Supply Chain Management
- Information Systems
- Data Security
Background:
- Ensuring supply chain quality, safety, and transparency is vital.
- Diverse stakeholders and disparate information systems hinder effective traceability.
- Secure data exchange with precise access control is critical.
Purpose of the Study:
- To introduce the concept of interoperable traceability.
- To present a model for seamless data integration from various sources.
- To demonstrate a practical application in the agri-food sector.
Main Methods:
- Developed a data space architecture for integrating diverse data sources.
- Incorporated sensors, IoT devices, data management platforms, and distributed ledger technologies (DLT).
- Implemented a demonstrator for secure traceability data exchange.
Main Results:
- Achieved seamless integration of data from heterogeneous systems.
- Enabled secure and transparent exchange of traceability data.
- Demonstrated practical application in real-world agri-food scenarios.
Conclusions:
- Interoperable traceability offers a novel approach to managing supply chain data.
- The proposed model enhances transparency, efficiency, and security for all stakeholders.
- This has direct implications for transportation systems and the agri-food industry.
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