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  • Publication
    Using I4.0 Digital Twins in Agriculture
    ( 2023)
    Falcao, Rodrigo
    ;
    Matar, Raghad
    ;
    Rauch, Bernd
    Agriculture is a huge domain where an enormous landscape of systems interact to support agricultural processes, which are becoming increasingly digital. From the perspective of agricultural service providers, a prominent challenge is interoperability. In the Fraunhofer lighthouse project Cognitive Agriculture (COGNAC), we investigated how the usage of Industry 4.0 digital twins (I4.0 DTs) can help overcome this challenge. This paper contributes architecture drivers and a solution concept using I4.0 DTs in the agricultural domain. Furthermore, we discuss the opportunities and limitations offered by I4.0 DTs for the agricultural domain.
  • Publication
    Data Spaces in Agriculture
    ( 2022)
    Doerr, J.
    ;
    Kalmar, Ralf
    ;
    Rauch, Bernd
    ;
    Stiene, S.
    Data and digital services increasingly play an important and critical role in many use cases of the agrifood sector. While more and more data is being made available by data producers, a growing number of data consumers are building use cases and services based on such data and agricultural processes. Major challenges in such a context are how to interconnect data producers with consumers, how to achieve data interoperability, and how to maintain data sovereignty. In this paper, we first discuss specific challenges and demands arising from the status quo of the digital domain ecosystem in agriculture and its respective data spaces. This is followed by an introduction and brief overview of approaches for data space architectures, their typical characteristics, and actual industry-driven initiatives and research projects. Finally, we discuss a specific approach that relies on digital twins for agricultural assets and which aims at centralizing access to data in a decentralized digital domain ecosystem. The presented concepts offer a potential way to tackle the aforementioned challenges for the agricultural data space.