Dario Gogoll, Phillip Lottes, Jan Weyler, Cyrill Stachniss and Nik Petrinic have won the IROS2020 Best Paper Award on Agri-Robotics with their paper: Unsupervised Domain Adaption for Transferring Plant Classification Systems to New Field Environments, Crops, and Robotics. The paper proposes an effective approach to unsupervised domain adaption for plant segmentation systems in agriculture and thus to adapt existing systems to new environments, different value crops, and other farm robots. The IROS Best Paper Award is a program which supports academic researchers in the area of Intelligent Robots and Systems. Check out the paper trailer video if you want to learn more about this contribution and join Dario Gogoll’s presentation at DIGICROP2020 on November 10, 2020 in the session on “Machine Learning for the Field“. Congratulations to the authors!