IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v59y2021ics0268401221000438.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401221000438
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2021.102350?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Debesh Mishra & Biswajit Mohapatra & Abhaya Sanatan Satpathy & Kamalakanta Muduli & Binayak Mishra & Swagatika Mishra & Upma Paliwal, 2024. "The pandemic COVID-19 and associated challenges with implementation of artificial intelligence (AI) in Indian agriculture," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2715-2729, June.
    2. 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.
    3. 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.
    4. Elena G. Popkova & Shakhlo T. Ergasheva & Nadezhda K. Savelyeva & Marija A. Troyanskaya, 2024. "Change Management for the Sustainable Development of the Agrarian Economy of Artificial Intelligence," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(1), pages 79-90, September.
    5. Uztürk, Deniz & Büyüközkan, Gülçin, 2024. "Industry 4.0 technologies in Smart Agriculture: A review and a Technology Assessment Model proposition," Technological Forecasting and Social Change, Elsevier, vol. 208(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ininma:v:59:y:2021:i:c:s0268401221000438. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.