| Spacebok: A dynamic legged robot for space exploration P Arm, R Zenkl, P Barton, L Beglinger, A Dietsche, L Ferrazzini, E Hampp, ... 2019 international conference on robotics and automation (ICRA), 6288-6294, 2019 | 126 | 2019 |
| Towards jumping locomotion for quadruped robots on the moon H Kolvenbach, E Hampp, P Barton, R Zenkl, M Hutter 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 73 | 2019 |
| Outdoor plant segmentation with deep learning for high-throughput field phenotyping on a diverse wheat dataset R Zenkl, R Timofte, N Kirchgessner, L Roth, A Hund, L Van Gool, A Walter, ... Frontiers in plant science 12, 774068, 2022 | 38 | 2022 |
| Combining high-resolution imaging, deep learning, and dynamic modeling to separate disease and senescence in wheat canopies J Anderegg, R Zenkl, A Walter, A Hund, BA McDonald Plant Phenomics 5, 0053, 2023 | 19 | 2023 |
| Sympathique: Image-based tracking of symptoms and monitoring of pathogenesis to decompose quantitative disease resistance in the field J Anderegg, R Zenkl, N Kirchgessner, A Hund, A Walter, BA McDonald Plant Methods 20 (1), 170, 2024 | 2 | 2024 |
| Thermal imaging can reveal variation in stay-green functionality of wheat canopies under temperate conditions J Anderegg, N Kirchgessner, H Aasen, O Zumsteg, B Keller, R Zenkl, ... Frontiers in Plant Science 15, 1335037, 2024 | 2 | 2024 |
| Towards high throughput in-field detection and quantification of wheat foliar diseases with deep learning R Zenkl, BA McDonald, A Walter, J Anderegg bioRxiv, 2024.05. 10.593608, 2024 | 2 | 2024 |
| Thermal imaging can reveal variation in stay-green functionality of wheat canopies under temperate conditions J Anderegg, N Kirchgessner, H Aasen, O Zumsteg, B Keller, R Zenkl, ... bioRxiv, 2023.11. 08.566006, 2023 | 1 | 2023 |
| Towards high throughput in-field detection and quantification of wheat foliar diseases using deep learning R Zenkl, BA McDonald, A Walter, J Anderegg Computers and Electronics in Agriculture 232, 109854, 2025 | | 2025 |
| Eschikon Foliar Disease Dataset R Zenkl, J Anderegg, B McDonald, A Walter | | 2025 |
| Floral Precision: Investigating Pea (Pisum sativum L.) Flowering with High Throughput Field Phenotyping and Object Detection C Oppliger, B Keller, R Zenkl, A Walter | | 2024 |
| Training and Validation data for Wheat organ segmentation J Anderegg, R Zenkl ETH Zurich, 2024 | | 2024 |
| Eschikon Wheat Segmentation (EWS) Dataset R Zenkl, N Kirchgessner, L Roth, A Hund, A Walter, H Aasen ETH Zurich, 2021 | | 2021 |
| Assessment of Pea Flowering by using High Throughput Field Phenotyping C Oppliger, R Zenkl, B Keller, A Walter | | |