Nikita gave a talk at the 8th HEFagrar PhD Symposium from the Hans Eisenmann-Forum in Freising about “Deep Learning-based Early Weed Segmentation using UAV Images of Sorghum Fields”.
Recently, the student council of the TUM Campus Straubing (TUMCS) for Biotechnology and Sustainability awarded the prize for excellent teaching for the first time to Prof. Dr. Dominik Grimm. A “Tree of Teaching” behind the new “Sustainable Chemistry” teaching and research building facing the Danube is dedicated to him. The student council had already chosen Prof. Grimm as the winner last year, and now the students congratulated him with a sign next to a newly planted silver willow after completion of the new building and the adjacent green space.
Jonathan joins the team as PhD students. He will work on novel machine learning and reinforcement learning problems within the project “Reinforcement Learning for Automated Flowsheet Synthesis of Steady-State Processes”, funded by the German Research Foundation (DFG).
Together with Computomics GmbH we successfully attracted funding from the Federal Ministry of Education and Research (BMBF) for our new project “CropML: New machine learning techniques for more accurate plant breeding by integrating heterogeneous external factors”.
We published a novel machine learning algorithm EVARS-GPR an EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data. Florian presented the method at the German AI Conference. The talk can be found on youtube: https://youtu.be/jZ6hZNMa-TE