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Intelligent Transport Systems. 8th International Conference, INTSYS 2024, Pisa, Italy, December 5–6, 2024, Revised Selected Papers

Research Article

Interoperable Traceability in Supply Chains: A Use Case in Agritech

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-86370-7_3,
        author={Giovanni Farina and Gianluca Brunori and Stefano Chessa and Alexander Kocian and Maria Bonaria Lai and Daniele Nardi and Claudio Schifanella and Susanna Bonura and Nicola Masi and Fiorenzo Ambrosino and Angelo Mariano and Lucio Colizzi and Giovanna Maria Dimitri and Marco Gori and Franco Scarselli and Silvia Bonomi},
        title={Interoperable Traceability in Supply Chains: A Use Case in Agritech},
        proceedings={Intelligent Transport Systems. 8th International Conference, INTSYS 2024, Pisa, Italy, December 5--6, 2024, Revised Selected Papers},
        proceedings_a={INTSYS},
        year={2025},
        month={4},
        keywords={International Data Space Blockchain Internet of Things Machine Learning Intelligent Transport Systems Agrifood},
        doi={10.1007/978-3-031-86370-7_3}
    }
    
  • Giovanni Farina
    Gianluca Brunori
    Stefano Chessa
    Alexander Kocian
    Maria Bonaria Lai
    Daniele Nardi
    Claudio Schifanella
    Susanna Bonura
    Nicola Masi
    Fiorenzo Ambrosino
    Angelo Mariano
    Lucio Colizzi
    Giovanna Maria Dimitri
    Marco Gori
    Franco Scarselli
    Silvia Bonomi
    Year: 2025
    Interoperable Traceability in Supply Chains: A Use Case in Agritech
    INTSYS
    Springer
    DOI: 10.1007/978-3-031-86370-7_3
Giovanni Farina1, Gianluca Brunori, Stefano Chessa, Alexander Kocian,*, Maria Bonaria Lai, Daniele Nardi, Claudio Schifanella2, Susanna Bonura, Nicola Masi, Fiorenzo Ambrosino3, Angelo Mariano3, Lucio Colizzi4, Giovanna Maria Dimitri5, Marco Gori5, Franco Scarselli5, Silvia Bonomi
  • 1: Department of Engineering
  • 2: Computer Science Department
  • 3: ENEA Italian National Agency for New Technologies
  • 4: Dipartimento di Informatica
  • 5: DIISM
*Contact email: alexander.kocian@unipi.it

Abstract

In the agri-food sector, traceability is essential to ensure the quality, safety, and transparency of supply chains, where transportation companies are key stakeholders in the overall movement of goods. The multitude of actors involved in supply chains makes it challenging to achieve the above mentioned objectives: each company usually uses its own information system, which is mainly aimed at tracking all relevant information of the single company and is rarely able to interact with other information systems. In addition, when multiple information systems need to exchange data, it is essential to have full control over what data is exchanged and who has access to it.

In this work, we introduce the concept ofinteroperable traceability. We have developed an innovative model that enables the seamless integration of data from IoT devices, data management software, and distributed ledgers into a newly designed “data space”. We provide an implementation of this concept that maps to a practical use case and provides a demonstrator that facilitates the secure transfer of traceability data between existing systems. This gives stakeholders a whole new way to manage and review data with greater transparency and efficiency.

Keywords
International Data Space Blockchain Internet of Things Machine Learning Intelligent Transport Systems Agrifood
Published
2025-04-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-86370-7_3
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