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 (ICRA, 2016)

UAV-based crop and weed classification for smart farming. - Philipp Lottes; Raghav Khanna; Johannes Pfeifer; Roland Siegwart; Cyrill Stachniss (ICRA, 2017)

Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement. - Philipp Lottes; Cyrill Stachniss (IROS, 2017)

Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields. - Nived Chebrolu; Philipp Lottes; Alexander Schaefer; Wera Winterhalter; Wolfram Burgard; Cyrill Stachniss (Int. J. Robotics Res., 2017)

Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming. - Philipp Lottes; Markus Höferlin; Slawomir Sander; Cyrill Stachniss (J. Field Robotics, 2017)

Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs. - Andres Milioto; Philipp Lottes; Cyrill Stachniss (ICRA, 2018)

Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming. - Philipp Lottes; Jens Behley; Nived Chebrolu; Andres Milioto; Cyrill Stachniss (IROS, 2018)

WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming. - Inkyu Sa; Marija Popovic; Raghav Khanna; Zetao Chen; Philipp Lottes; Frank Liebisch; Juan I. Nieto 001; Cyrill Stachniss; Roland Siegwart (CoRR, 2018)

Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming. - Philipp Lottes; Jens Behley; Andres Milioto; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2018)

WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming. - Inkyu Sa; Marija Popovic; Raghav Khanna; Zetao Chen; Philipp Lottes; Frank Liebisch; Juan I. Nieto 001; Cyrill Stachniss; Achim Walter; Roland Siegwart (Remote. Sens., 2018)

Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields. - Nived Chebrolu; Philipp Lottes; Thomas Läbe; Cyrill Stachniss (ICRA, 2019)

ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals. - Emanuele Palazzolo; Jens Behley; Philipp Lottes; Philippe Giguère; Cyrill Stachniss (IROS, 2019)

Building an Aerial-Ground Robotics System for Precision Farming. - Alberto Pretto; Stéphanie Aravecchia; Wolfram Burgard; Nived Chebrolu; Christian Dornhege; Tillmann Falck; Freya Fleckenstein; Alessandra Fontenla; Marco Imperoli; Raghav Khanna; Frank Liebisch; Philipp Lottes; et al. (CoRR, 2019)

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 001 (ICRA, 2020)

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 (IROS, 2020)

Robust joint stem detection and crop-weed classification using image sequences for plant-specific treatment in precision farming. - Philipp Lottes; Jens Behley; Nived Chebrolu; Andres Milioto; Cyrill Stachniss (J. Field Robotics, 2020)

Robotic weed control using automated weed and crop classification. - Xiaolong Wu; Stéphanie Aravecchia; Philipp Lottes; Cyrill Stachniss; Cédric Pradalier (J. Field Robotics, 2020)

Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry. - Abel Barreto; Philipp Lottes; Facundo Ramón Ispizua Yamati; Stephen Baumgarten; Nina Anastasia Wolf; Cyrill Stachniss; Anne-Katrin Mahlein; Stefan Paulus (Comput. Electron. Agric., 2021)

Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution. - Alberto Pretto; Stéphanie Aravecchia; Wolfram Burgard; Nived Chebrolu; Christian Dornhege; Tillmann Falck; Freya Veronika Fleckenstein; Alessandra Fontenla; Marco Imperoli; Raghav Khanna; Frank Liebisch; Philipp Lottes; et al. (IEEE Robotics Autom. Mag., 2021)

Plant Classification Systems for Agricultural Robots - Philipp Lottes (2021)

Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery. - Jan Weyler; Jan Quakernack; Philipp Lottes; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms. - Yue Linn Chong; Jan Weyler; Philipp Lottes; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2023)

From one field to another - Unsupervised domain adaptation for semantic segmentation in agricultural robotics. - Federico Magistri; Jan Weyler; Dario Gogoll; Philipp Lottes; Jens Behley; Nik Petrinic; Cyrill Stachniss (Comput. Electron. Agric., 2023)