Fraunhofer-Institut für Angewandte Informationstechnik FIT

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  • Publication
    Agricultural Information Model
    ( 2022)
    Palma, R.
    ;
    Roussaki, I.
    ;
    Döhmen, Till
    ;
    Atkinson, R.
    ;
    Brahma, S.
    ;
    Lange, Christoph
    ;
    Routis, G.
    ;
    Plociennik, M.
    ;
    Mueller, S.
    One of the key challenges towards the realization of smart farming solutions is related to the lack of interoperability between different systems and platforms in the agri-food sector, especially the ones offered by different technology providers. In this respect, seamless exchange and integration of the data produced or collected by those systems is of major importance, which unfortunately is rarely supported. This is in principle due to the wide heterogeneity of data models and semantics used to represent data in the agri-food domain, as well as the lack of related standards to dominate this space and the lack of sufficient interoperability mechanisms that enable the connection of existing agri-food data models. This chapter presents the Agriculture Information Model (AIM) that has been developed by the H2020 DEMETER project, which aims to address the aforementioned issues. AIM has been designed following a layered and modular approach and is realized as a suite of ontologies implemented in line with best practices, reusing existing standards and well-scoped models as much as possible and establishing alignments between them to enable their interoperability and the integration of existing data. AIM is scalable and can easily be extended to address additional needs and incorporate new concepts, maintaining its consistency and compliance. The AIM specification includes a set of guidelines and examples for application developers and other users and is currently being validated in demanding large-scale pilots across various operational environments in the framework of the H2020 DEMETER project aiming to enable the provision of efficient interoperable solutions to farmers and other stakeholders in the agri-food value chain.