AI applications of data sharing in agriculture 4.0: A framework for role-based data access control |
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| Institution: | 1. School of Business and Economics, Loughborough University Loughborough, United Kingdom;2. School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom;3. School of Economic Sciences, University of Western Macedonia, Grevena, Greece;4. Aston Business School, Aston University, Birmingham, United Kingdom;1. Universitat Politècnica de València, Spain;2. University of Valencia, Spain;3. ESIC Business & Marketing School, Spain;1. Department of Business Information & Analytics, Daniels College of Business, University of Denver, 2101 S. University Blvd, Denver, CO, USA;2. Department of Computer Information Systems, J. Mack Robinson College of Business, Georgia State University, 35 Broad Street, Atlanta, GA, USA;1. Wright State University, 3640 Colonel Glenn Highway, Dayton, OH, 45435, USA;2. Department of Information Technology and Operations Management, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798 |
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| 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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| Keywords: | Agriculture 4 0 Design science Artificial intelligence Data sharing Role-based access control |
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