A Reference Architecture for Enabling Interoperability and Data Sovereignty in the Agricultural Data Space

Author:

Falcão Rodrigo1ORCID,Matar Raghad1ORCID,Rauch Bernd1ORCID,Elberzhager Frank1ORCID,Koch Matthias1ORCID

Affiliation:

1. Fraunhofer Institute for Experimental Software Engineering IESE, Fraunhofer-Platz 1, 67663 Kaiserslautern, Germany

Abstract

Agriculture is one of the major sectors of the global economy and also a software-intensive domain. The digital landscape of agriculture is composed of multiple digital ecosystems, which together constitute an agricultural domain ecosystem, also referred to as the “Agricultural Data Space’’ (ADS). As the domain is so huge, there are several sub-domains and specialized solutions, and each of them poses challenges to interoperability. Additionally, farmers have increasing concerns about data sovereignty. In the context of the research project COGNAC, we elicited architecture drivers for interoperability and data sovereignty in agriculture and designed a reference architecture of a platform that aims to address these qualities in the ADS. In this paper, we present the solution concepts and design decisions that characterize the reference architecture. Early prototypes have been developed and made available to support the validation of the concept.

Funder

Fraunhofer-Gesellschaft in the context of the lighthouse project Cognitive Agriculture

Publisher

MDPI AG

Subject

Information Systems

Reference33 articles.

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4. Kalmar, R., Rauch, B., Dörr, J., and Liggesmeyer, P. (2022). Agricultural Data Space. Des. Data Spaces, 279–290.

5. Calvet, E., Falcão, R., and Thom, L.H. (2022). Business Process Model for Interoperability Improvement in the Agricultural Domain Using Digital Twins. arXiv.

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