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

AI applications of data sharing in agriculture 4.0: A framework for role-based data access control
AI applications of data sharing in agriculture 4.0: A framework for role-based data access control
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.
Agriculture 4.0, Artificial intelligence, Data sharing, Design science, Role-based access control
0268-4012
Karafili, Erisa
f5efa31c-22b8-443e-8107-e488bd28918e
Spanaki, Konstantina
bd7cf80d-ce07-4b50-a8c9-b064daae8d32
Despoudi, Stella
117b08d8-3934-4a64-8abb-4311c2bebec4
Karafili, Erisa
f5efa31c-22b8-443e-8107-e488bd28918e
Spanaki, Konstantina
bd7cf80d-ce07-4b50-a8c9-b064daae8d32
Despoudi, Stella
117b08d8-3934-4a64-8abb-4311c2bebec4

Karafili, Erisa, Spanaki, Konstantina and 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, 59, [102350]. (doi:10.1016/j.ijinfomgt.2021.102350).

Record type: Article

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.

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AI applications of data sharing in agriculture 4.0 A framework for role-based data access control - Accepted Manuscript
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Accepted/In Press date: 25 March 2021
e-pub ahead of print date: 5 April 2021
Published date: 1 August 2021
Additional Information: Crown Copyright © 2021 Published by Elsevier Ltd.
Keywords: Agriculture 4.0, Artificial intelligence, Data sharing, Design science, Role-based access control

Identifiers

Local EPrints ID: 448956
URI: http://eprints.soton.ac.uk/id/eprint/448956
ISSN: 0268-4012
PURE UUID: fe2ddc40-686d-4a0e-8f58-ff6379ae4988
ORCID for Erisa Karafili: ORCID iD orcid.org/0000-0002-8250-4389

Catalogue record

Date deposited: 11 May 2021 17:11
Last modified: 17 Mar 2024 06:32

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Contributors

Author: Erisa Karafili ORCID iD
Author: Konstantina Spanaki
Author: Stella Despoudi

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