Project

Agro-Nordwest

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

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

  • Duration:

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 heterogeneous digital infrastructure, of a variable network coverage, and of changes in the agricultural working environment get addressed.

Considering the value chain, the project will examine how digitalizing agricultural production processes will reconcile economic and ecological goals in agro-food production in the long run. The targeted result is a model of digitalized agriculture that is integrated into the economic and social ecosystems.

Partners

  • Agrotech Valley Forum e.V.,
  • Hochschule Osnabrück,
  • Universität Osnabrück,
  • Ruhr-Universität Bochum,
  • Institut für Zukunftsstudien und Technologiebewertung gGmbH

Sponsors

BMEL - Federal Ministry of Food and Agriculture

28DE103E18

Bundesministerium für Ernährung und Landwirtschaft

BMEL - Federal Ministry of Food and Agriculture

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Publications about the project

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

In: Informatik in der Land-, Forst- und Ernährungswirtschaft -- Referate der 43. GIL-Jahrestagung. GIL-Jahrestagung (GIL-2023), February 13-14, Osnabrück, Germany, Köllen Druck & Verlag GmbH, 2/2023.

To the publication

Isaak Mitschke; Thomas Wiemann; Felix Igelbrink; Joachim Hertzberg

In: Proceedings of 17th INTERNATIONAL CONFERENCE ON INTELLIGENT AUTONOMOUS SYSTEMS (IAS-17). International Conference on Intelligent Autonomous Systems (IAS-2022), June 13-16, Zagreb, Croatia, IAS, 6/2022.

To the publication

Christoph Tieben; Tobias Reuter; Konstantin Nahrstedt; Franz Kraatz; Kai Lingemann; Dieter Trautz; Thomas Jarmer; Joachim Hertzberg

In: Markus Gandorfer; Christa Hoffmann; Nadja El Benni; Marianne Cockburn; Thomas Anken; Helga Floto (Hrsg.). 42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft. Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL-2022), February 21-22, Switzerland, Pages 289-294, ISBN 978-3-88579-711-1, Gesellschaft für Informatik e.V. Bonn, 2/2022.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz