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AI applications of data sharing in agriculture 4.0: A framework for role-based data access control

Author

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  • Spanaki, Konstantina
  • Karafili, Erisa
  • Despoudi, Stella

Abstract

Industry 4.0 and the associated IoT and data applications are evolving rapidly and expand in various fields. Industry 4.0 also manifests in the farming sector, where the wave of Agriculture 4.0 provides multiple opportunities for farmers, consumers and the associated stakeholders. Our study presents the concept of Data Sharing Agreements (DSAs) as an essential path and a template for AI applications of data management among various actors. The approach we introduce adopts design science principles and develops role-based access control based on AI techniques. The application is presented through a smart farm scenario while we incrementally explore the data sharing challenges in Agriculture 4.0. Data management and sharing practices should enforce defined contextual policies for access control. The approach could inform policymaking decisions for role-based data management, specifically the data-sharing agreements in the context of Industry 4.0 in broad terms and Agriculture 4.0 in specific.

Suggested Citation

  • Spanaki, Konstantina & Karafili, Erisa & Despoudi, Stella, 2021. "AI applications of data sharing in agriculture 4.0: A framework for role-based data access control," International Journal of Information Management, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:ininma:v:59:y:2021:i:c:s0268401221000438
    DOI: 10.1016/j.ijinfomgt.2021.102350
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    Cited by:

    1. Chi-Ming Ho, 2023. "Research on interaction of innovation spillovers in the AI, Fin-Tech, and IoT industries: considering structural changes accelerated by COVID-19," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-29, December.
    2. Theocharis Moysiadis & Konstantina Spanaki & Ayalew Kassahun & Sabine Kläser & Nicolas Becker & George Alexiou & Nikolaos Zotos & Iliada Karali, 2022. "AgriFood Supply Chain Traceability: Data Sharing in a farm-to-fork case," Post-Print hal-03766179, HAL.

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