Philipp Lottes

University of Bonn — Germany

Agricultural and Biological Sciences · Life Sciences

19h-index2.4kcitations32works0.02yr avg
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Research Topics

Smart Agriculture and AI(28), Remote Sensing in Agriculture(9), Remote Sensing and LiDAR Applications(7), Robotics and Sensor-Based Localization(6), Plant Virus Research Studies(4)

Publications32 total

From one field to another—Unsupervised domain adaptation for semantic segmentation in agricultural robotics
Computers and Electronics in Agriculture·2023· 29 cited
Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms
IEEE Robotics and Automation Letters·2023· 9 cited
Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery
IEEE Robotics and Automation Letters·2022· 32 cited
Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry
Computers and Electronics in Agriculture·2021· 63 cited
Table of Contents
IEEE Robotics & Automation Magazine·2021Open Access
UAV-Based Classification of Cercospora Leaf Spot Using RGB Images
Drones·2021· 59 citedOpen Access
Plant Classification Systems for Agricultural Robots
bonndoc (University of Bonn)·2021· 1 cited
Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots
2020· 28 cited
Building an Aerial–Ground Robotics System for Precision Farming: An Adaptable Solution
IEEE Robotics & Automation Magazine·2020· 112 citedOpen Access
Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots
2020· 37 cited
Robotic weed control using automated weed and crop classification
Journal of Field Robotics·2020· 175 citedOpen Access
Building an Aerial-Ground Robotics System for Precision Farming.
arXiv (Cornell University)·2019· 7 citedOpen Access
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals
2019· 9 citedOpen Access
Robust joint stem detection and crop‐weed classification using image sequences for plant‐specific treatment in precision farming
Journal of Field Robotics·2019· 90 cited
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras\n Exploiting Residuals
arXiv (Cornell University)·2019Open Access
Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields
2019· 49 cited
UAV-based field monitoring for precision farming.
2019
Drohnen-gestützte Feldhygiene zur Früherkennung von Pyrrolizidinalkaloid-haltigen Wildkräutern im Arznei- und Gewürzpflanzenanbau
2019
Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming
2018· 9 citedOpen Access
WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming
Remote Sensing·2018· 278 citedOpen Access
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Frequent Co-authors

Cyrill Stachniss(30), Andres Milioto(11), Nived Chebrolu(9), Jens Behley(9), Raghav Khanna(7), Roland Siegwart(7), Frank Liebisch(7), Achim Walter(6), Inkyu Sa(5), Marija Popović(5), Juan Nieto(5), Johannes Pfeifer(4), Alexander Schaefer(4), Wera Winterhalter(4), Wolfram Burgard(4), Xiaolong Wu(4), Stéphanie Aravecchia(4), Cédric Pradalier(4), Jan Weyler(4), Alberto Pretto(3)