Project

PORTAL

Plant breeding using robotics and AI for advanced data analysis and decision making in virtual spaces

Plant breeding using robotics and AI for advanced data analysis and decision making in virtual spaces

The project "PORTAL - Plant breeding using robotics and AI for advanced data analysis and decision making in virtual spaces " will extend and bring together state-of-the-art technologies from the fields of Artificial Intelligence (AI), Robotics and Virtual Reality (VR) to create a significant, disruptive advancement for plant breeding as an important part of agriculture. This will enable plant breeders for the first time ever to revisit and inspect field plots, independently of time and space, in a virtual and augmented environment: the virtual plant breeding nursery.

Partners

NPZ Innovation GmbH (NPZi) Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Labor Nds FG PBR COS

Sponsors

BMEL - Federal Ministry of Food and Agriculture

28DK111B20

BMEL - Federal Ministry of Food and Agriculture

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Publications about the project

Tim Bohne; Benjamin Kisliuk

In: Workshop on Robot Execution Failures and Failure Management Strategies at ICRA 2023. IEEE International Conference on Robotics and Automation (ICRA-2023), Embracing the future: Making robots for humans, located at ICRA 2023, May 29 - June 2, London, United Kingdom, 6/2023.

To the publication

Tim Bohne; Gurunatraj Parthasarathy; Benjamin Kisliuk

In: Konferenzband der 43. GIL-Jahrestagung. GIL-Jahrestagung (GIL-2023), Resiliente Agri-Food-Systeme: Herausforderungen und Lösungsansätze, February 13-14, Osnabrück, Germany, Pages 285-290, LNI, Vol. P-330, ISBN 978-3-88579-724-1, Gesellschaft für Informatik, Bonn, 2/2023.

To the publication

Christoph Tieben; Benjamin Kisliuk; Matthias Enders; Mareike Léon; Florian Daiber; Felix Kosmalla; Stefan Stiene; 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 295-300, 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