| 2020 | IROS | Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots. | Dario Gogoll, Philipp Lottes, Jan Weyler, Nik Petrinic, Cyrill Stachniss |
| 2020 | ICRA | Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots. | Rasha Sheikh, Andres Milioto, Philipp Lottes, Cyrill Stachniss, Maren Bennewitz, Thomas Schultz |
| 2019 | ICRA | Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields. | Nived Chebrolu, Philipp Lottes, Thomas Lbe, Cyrill Stachniss |
| 2019 | IROS | ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals. | Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Gigure, Cyrill Stachniss |
| 2018 | ICRA | Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs. | Andres Milioto, Philipp Lottes, Cyrill Stachniss |
| 2018 | IROS | Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming. | Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss |
| 2017 | ICRA | UAV-based crop and weed classification for smart farming. | Philipp Lottes, Raghav Khanna, Johannes Pfeifer, Roland Siegwart, Cyrill Stachniss |
| 2017 | IROS | Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement. | Philipp Lottes, Cyrill Stachniss |
| 2016 | ICRA | An effective classification system for separating sugar beets and weeds for precision farming applications. | Philipp Lottes, Markus Hoeferlin, Slawomir Sander, Matthias Muter, Peter Schulze Lammers, Cyrill Stachniss |