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Dr. rer. nat. Kai Lingemann


Tobias Reuter; Juan Carlos Saborio; Christoph Tieben; Konstantin Nahrstedt; Franz Kraatz; Hendrik Meemken; Gerrit Hünker; Kai Lingemann; Gabriele Broll; Thomas Jarmer; Joachim Hertzberg; Dieter Trautz

In: Christa Hoffmann; Anthony Stein; Arno Ruckelshausen; Henning Müller; Thilo Steckel; Helga Floto (Hrsg.). Informatik in der Land-, Forst- und Ernährungswirtschaft -- Referate der 43. GIL-Jahrestagung. GIL-Jahrestagung (GIL-2023), 43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme, February 13-14, Osnabrück, Germany, Pages 489-494, ISBN 978-3-88579-724-1, Gesellschaft für Informatik e.V. Bonn, 2/2023.

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Ioanna Mouratiadou; Nahleen Lemke; Cheng Chen; Ariani Wartenberg; Ralf Bloch; Marco Donat; Thomas Gaiser; Deepak Hanike Basavegowda; Katharina Helming; Seyed Ali Hosseini Yekani; Marcos Krull; Kai Lingemann; Joseph Macpherson; Marvin Melzer; Claas Nendel; Annette Piorr; Mostafa Shaaban; Peter Zander; Cornelia Weltzien; Sonoko Dorothea Bellingrath-Kimura

In: Environmental Science and Ecotechnology (ESE), Vol. 16, Pages 1-29, Elsevier, 2023.

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Amos Smith; Jeremy Coffelt; Kai Lingemann

In: OCEANS 22 Hampton Roads. OCEANS MTS/IEEE Conference (OCEANS-2022), October 17-20, Hampton Roads, VA, USA, IEEE, 10/2022.

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  • IQexpert

    Use of innovative data analysis and artificial intelligence for udder health management, incorporating the latest research approaches in bulk milk analysis and image-based animal identification

    The IQexpert project aims to develop an artificial intelligence-based expert system for strategic udder health management (XTE) in dairy cows. The system assists the farmer as a "digital expert" by…

  • Agro-Nordwest

    Agro-Nordwest: experimental field for digital transformation in agricultural crop production

    The Experimental Field Agro-Nordwest focuses on the practical digital transformation, mainly in arable farming. Considering the aspects of economy, ecology, and integrating humans, problems of a…


    Digital Agricultural Knowledge and Information

    The Project “Digital Agricultural Knowledge and Information System” (DAKIS) contributes to the vision for spatially and functionally diversified agricultural systems of the future with the aim to…

  • prospective.HARVEST

    Methods and technologies to provide proactive planning and controlling of cooperative agriculture

    The aim of this joint project is the realization of an infrastructure to provide proactive support for agriculture processes, taking silage maize harvesting as an example of use.

    The key component is…