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

Konstantina Spanaki, Erisa Karafili, Stella Despoudi

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Article number102350
JournalInternational Journal of Information Management
Volume59
Early online date5 Apr 2021
DOIs
Publication statusE-pub ahead of print - 5 Apr 2021

Keywords

  • Agriculture 4.0
  • Artificial intelligence
  • Data sharing
  • Design science
  • Role-based access control

Fingerprint Dive into the research topics of 'AI applications of data sharing in agriculture 4.0: A framework for role-based data access control'. Together they form a unique fingerprint.

Cite this