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2020 – today
- 2024
[j9]Konrad Metzger
, Frank Liebisch, Juan M. Herrera, Thomas Guillaume, Luca Bragazza:
Prediction Accuracy of Soil Chemical Parameters by Field- and Laboratory-Obtained vis-NIR Spectra after External Parameter Orthogonalization. Sensors 24(11): 3556 (2024)- [j8]Onur Yüzügüllü, Noura Fajraoui, Frank Liebisch:
Soil Texture and pH Mapping Using Remote Sensing and Support Sampling. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12685-12705 (2024) - 2021
- [j7]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, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto:
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution. IEEE Robotics Autom. Mag. 28(3): 29-49 (2021) - [j6]Gregor Perich, Helge Aasen, Jochem Verrelst, Francesco Argento, Achim Walter, Frank Liebisch:
Crop Nitrogen Retrieval Methods for Simulated Sentinel-2 Data Using In-Field Spectrometer Data. Remote. Sens. 13(12): 2404 (2021) - [c4]Gregor Perich, Patrick Meyer, Alice Wieser, Frank Liebisch:
Proximal and Drone Based Hyperspectral Sensing for Crop Nitrogen Status Detection in Historic Field Trials. WHISPERS 2021: 1-5 - [i4]Mehmet Ozgur Turkoglu, Stefano D'Aronco, Gregor Perich, Frank Liebisch, Constantin Streit, Konrad Schindler, Jan Dirk Wegner:
Crop mapping from image time series: deep learning with multi-scale label hierarchies. CoRR abs/2102.08820 (2021) - 2020
- [j5]Onur Yuzugullu, Frank Lorenz, Peter Fröhlich, Frank Liebisch:
Understanding Fields by Remote Sensing: Soil Zoning and Property Mapping. Remote. Sens. 12(7): 1116 (2020)
2010 – 2019
- 2019
- [i3]Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto:
Building an Aerial-Ground Robotics System for Precision Farming. CoRR abs/1911.03098 (2019) - 2018
- [j4]Inkyu Sa, Zetao Chen, Marija Popovic, Raghav Khanna, Frank Liebisch, Juan I. Nieto, Roland Siegwart:
weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming. IEEE Robotics Autom. Lett. 3(1): 588-595 (2018) - [j3]Samuel Joalland, Claudio Screpanti, Hubert Vincent Varella, Marie Reuther, Mareike Schwind, Christian Lang, Achim Walter, Frank Liebisch:
Aerial and Ground Based Sensing of Tolerance to Beet Cyst Nematode in Sugar Beet. Remote. Sens. 10(5): 787 (2018) - [j2]Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Achim Walter, Roland Siegwart:
WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming. Remote. Sens. 10(9): 1423 (2018) - [c3]Onur Yurugullu, Frank Liebisch:
OBSERVING CROP GROWTH AND VITALITY WITH THE COPERNICUS MISSION. IGARSS 2018: 6615-6618 - [i2]Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Roland Siegwart:
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming. CoRR abs/1808.00100 (2018) - 2017
- [j1]Virginia Brancato, Frank Liebisch, Irena Hajnsek:
Impact of Plant Surface Moisture on Differential Interferometric Observables: A Controlled Electromagnetic Experiment. IEEE Trans. Geosci. Remote. Sens. 55(7): 3949-3964 (2017) - [i1]Inkyu Sa, Zetao Chen, Marija Popovic, Raghav Khanna, Frank Liebisch, Juan I. Nieto, Roland Siegwart:
weedNet: Dense Semantic Weed Classification Using Multispectral Images and MAV for Smart Farming. CoRR abs/1709.03329 (2017) - 2015
- [c2]Raghav Khanna, Martin Möller, Johannes Pfeifer, Frank Liebisch, Achim Walter, Roland Siegwart:
Beyond point clouds - 3D mapping and field parameter measurements using UAVs. ETFA 2015: 1-4 - 2014
- [c1]Frank Liebisch, Gabriela Kung, Alexander Damm, Achim Walter:
Characterization of crop vitality and resource use efficiency by means of combining imaging spectroscopy based plant traits. WHISPERS 2014: 1-4
Coauthor Index
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