| Real-time semantic segmentation of crop and weed for precision agriculture robots leveraging background knowledge in CNNs A Milioto, P Lottes, C Stachniss 2018 IEEE international conference on robotics and automation (ICRA), 2229-2235, 2018 | 528 | 2018 |
| UAV-based crop and weed classification for smart farming P Lottes, R Khanna, J Pfeifer, R Siegwart, C Stachniss 2017 IEEE international conference on robotics and automation (ICRA), 3024-3031, 2017 | 472 | 2017 |
| Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields N Chebrolu, P Lottes, A Schaefer, W Winterhalter, W Burgard, C Stachniss The International Journal of Robotics Research 36 (10), 1045-1052, 2017 | 333 | 2017 |
| Fully convolutional networks with sequential information for robust crop and weed detection in precision farming P Lottes, J Behley, A Milioto, C Stachniss IEEE Robotics and Automation Letters 3 (4), 2870-2877, 2018 | 294 | 2018 |
| WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming I Sa, M Popović, R Khanna, Z Chen, P Lottes, F Liebisch, J Nieto, ... Remote Sensing 10 (9), 1423, 2018 | 278 | 2018 |
| Real-time blob-wise sugar beets vs weeds classification for monitoring fields using convolutional neural networks A Milioto, P Lottes, C Stachniss ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017 | 193 | 2017 |
| ReFusion: 3D reconstruction in dynamic environments for RGB-D cameras exploiting residuals E Palazzolo, J Behley, P Lottes, P Giguere, C Stachniss 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 182 | 2019 |
| Robotic weed control using automated weed and crop classification X Wu, S Aravecchia, P Lottes, C Stachniss, C Pradalier Journal of Field Robotics 37 (2), 322-340, 2020 | 157 | 2020 |
| Effective vision‐based classification for separating sugar beets and weeds for precision farming P Lottes, M Hörferlin, S Sander, C Stachniss Journal of Field Robotics 34 (6), 1160-1178, 2017 | 135 | 2017 |
| An effective classification system for separating sugar beets and weeds for precision farming applications P Lottes, M Hoeferlin, S Sander, M Müter, P Schulze, LC Stachniss 2016 IEEE International Conference on Robotics and Automation (ICRA), 5157-5163, 2016 | 121 | 2016 |
| Building an aerial–ground robotics system for precision farming: an adaptable solution A Pretto, S Aravecchia, W Burgard, N Chebrolu, C Dornhege, T Falck, ... IEEE Robotics & Automation Magazine 28 (3), 29-49, 2020 | 117 | 2020 |
| Robust joint stem detection and crop‐weed classification using image sequences for plant‐specific treatment in precision farming P Lottes, J Behley, N Chebrolu, A Milioto, C Stachniss Journal of Field Robotics 37 (1), 20-34, 2020 | 94 | 2020 |
| Joint stem detection and crop-weed classification for plant-specific treatment in precision farming P Lottes, J Behley, N Chebrolu, A Milioto, C Stachniss 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 93 | 2018 |
| Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement P Lottes, C Stachniss 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 59 | 2017 |
| Robot localization based on aerial images for precision agriculture tasks in crop fields N Chebrolu, P Lottes, T Läbe, C Stachniss 2019 international conference on robotics and automation (ICRA), 1787-1793, 2019 | 50 | 2019 |
| UAV-based classification of cercospora leaf spot using RGB images F Görlich, E Marks, AK Mahlein, K König, P Lottes, C Stachniss Drones 5 (2), 34, 2021 | 46 | 2021 |
| Gradient and log-based active learning for semantic segmentation of crop and weed for agricultural robots R Sheikh, A Milioto, P Lottes, C Stachniss, M Bennewitz, T Schultz 2020 IEEE International Conference on Robotics and Automation (ICRA), 1350-1356, 2020 | 39 | 2020 |
| Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry A Barreto, P Lottes, FRI Yamati, S Baumgarten, NA Wolf, C Stachniss, ... Computers and Electronics in Agriculture 191, 106493, 2021 | 38 | 2021 |
| Unsupervised domain adaptation for transferring plant classification systems to new field environments, crops, and robots D Gogoll, P Lottes, J Weyler, N Petrinic, C Stachniss 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 35 | 2020 |
| Flourish-a robotic approach for automation in crop management A Walter, R Khanna, P Lottes, C Stachniss, R Siegwart, J Nieto, F Liebisch Proceedings of the international conference on precision agriculture (ICPA), 2018 | 27 | 2018 |
