Anne-Katrin Mahlein

27 papers B 2C 1Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Generalized Concept for Clustering Capabilities of Weeding Robots.
J. Field Robotics
Stefan Paulus, Thomas Linkugel, Alireza Ahmadi, Chris McCool, Anne-Katrin Mahlein
2024 B conf
Towards Agent-based Disease Spread Modeling Combining Knowledge-driven Simulation and Machine Learning.
IEEE Big Data
Maurice Günder, Facundo Ramón Ispizua Yamati, Anne-Katrin Mahlein, Christian Bauckhage
2023 J jnl
Data Augmentation for Mask-Based Leaf Segmentation of UAV-Images as a Basis to Extract Leaf-Based Phenotyping Parameters.
Künstliche Intell.
Abel Barreto, Lasse Reifenrath, Richard Vogg, Fabian H. Sinz, Anne-Katrin Mahlein
2023 J jnl
SugarViT - Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet.
CoRR
Maurice Günder, Facundo Ramón Ispizua Yamati, Abel Andree Barreto Alcántara, Anne-Katrin Mahlein, Rafet Sifa, Christian Bauckhage
2022 J jnl
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision.
CoRR
Maurice Günder, Facundo Ramón Ispizua Yamati, Jana Kierdorf, Ribana Roscher, Anne-Katrin Mahlein, Christian Bauckhage
2021 J jnl
Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry.
Comput. Electron. Agric.
Abel Barreto, Philipp Lottes, Facundo Ramón Ispizua Yamati, Stephen Baumgarten, Nina Anastasia Wolf, Cyrill Stachniss, Anne-Katrin Mahlein, Stefan Paulus
2021 J jnl
Combining expert knowledge and neural networks to model environmental stresses in agriculture.
CoRR
Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev
2020 J jnl
Making deep neural networks right for the right scientific reasons by interacting with their explanations.
Nat. Mach. Intell.
Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Franziska Herbert, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting
2020 J jnl
Prediction of the Kiwifruit Decline Syndrome in Diseased Orchards by Remote Sensing.
Remote. Sens.
Francesco Savian, Marta Martini, Paolo Ermacora, Stefan Paulus, Anne-Katrin Mahlein
2020 J jnl
Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations.
CoRR
Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting
2020 J jnl
Statistical shape analysis of tap roots: a methodological case study on laser scanned sugar beets.
BMC Bioinform.
Behrend Heeren, Stefan Paulus, Heiner E. Goldbach, Heiner Kuhlmann, Anne-Katrin Mahlein, Martin Rumpf, Benedikt Wirth
2019 J jnl
Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring
Sensors
Anne-Katrin Mahlein, Elias Alisaac, Ali Al Masri, Jan Behmann, Heinz-Wilhelm Dehne, Erich-Christian Oerke
2019 J jnl
Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range.
Remote. Sens.
Anna Brugger, Jan Behmann, Stefan Paulus, Hans-Georg Luigs, Matheus Thomas Kuska, Patrick Schramowski, Kristian Kersting, Ulrike Steiner, Anne-Katrin Mahlein
2019 J jnl
In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV Scale.
Remote. Sens.
David Bohnenkamp, Jan Behmann, Anne-Katrin Mahlein
2018 J jnl
Infrared Thermography as a Non-Invasive Tool to Explore Differences in the Musculoskeletal System of Children with Hemophilia Compared to an Age-Matched Healthy Group.
Sensors
Axel Seuser, Karin Kurnik, Anne-Katrin Mahlein
2018 J jnl
Spatial Referencing of Hyperspectral Images for Tracing of Plant Disease Symptoms.
J. Imaging
Jan Behmann, David Bohnenkamp, Stefan Paulus, Anne-Katrin Mahlein
2018 J jnl
Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection.
Sensors
Jan Behmann, Kelvin Acebron, Dzhaner Emin, Simon Bennertz, Shizue Matsubara, Stefan Thomas, David Bohnenkamp, Matheus Thomas Kuska, Jouni Jussila, Harri Salo, Anne-Katrin Mahlein, Uwe Rascher
2016 — ch.
Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants.
Computational Sustainability
Kristian Kersting, Christian Bauckhage, Mirwaes Wahabzada, Anne-Katrin Mahlein, Ulrike Steiner, Erich-Christian Oerke, Christoph Römer, Lutz Plümer
2016 J jnl
Generation and application of hyperspectral 3D plant models: methods and challenges.
Mach. Vis. Appl.
Jan Behmann, Anne-Katrin Mahlein, Stefan Paulus, Jan Dupuis, Heiner Kuhlmann, Erich-Christian Oerke, Lutz Plümer
2016 — conf
On the benefit of topographic dictionaries for detecting disease symptoms on hyperspectral 3D plant models.
WHISPERS
Ribana Roscher, Jan Behmann, Anne-Katrin Mahlein, Lutz Plümer
2015 J jnl
Automated interpretation of 3D laserscanned point clouds for plant organ segmentation.
BMC Bioinform.
Mirwaes Wahabzada, Stefan Paulus, Kristian Kersting, Anne-Katrin Mahlein
2015 B conf
Localized multispectral crop imaging sensors: Engineering & validation of a cost effective plant stress and disease sensor.
SAS
Bruce Grieve, Simon Hammersley, Anne-Katrin Mahlein, Erich-Christian Oerke, Heiner E. Goldbach
2015 J jnl
Supplemental Blue LED Lighting Array to Improve the Signal Quality in Hyperspectral Imaging of Plants.
Sensors
Anne-Katrin Mahlein, Simon Hammersley, Erich-Christian Oerke, Heinz-Wilhelm Dehne, Heiner E. Goldbach, Bruce Grieve
2014 — conf
Generation and Application of Hyperspectral 3D Plant Models.
ECCV Workshops (4)
Jan Behmann, Anne-Katrin Mahlein, Stefan Paulus, Heiner Kuhlmann, Erich-Christian Oerke, Lutz Plümer
2014 J jnl
Low-Cost 3D Systems: Suitable Tools for Plant Phenotyping.
Sensors
Stefan Paulus, Jan Behmann, Anne-Katrin Mahlein, Lutz Plümer, Heiner Kuhlmann
2013 J jnl
Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping.
BMC Bioinform.
Stefan Paulus, Jan Dupuis, Anne-Katrin Mahlein, Heiner Kuhlmann
2010 C conf
Optimalwavelengths for an early identification of Cercospora beticola with Support Vector Machines based on hyperspectral reflection data.
IGARSS
Till Rumpf, Christoph Römer, Lutz Plümer, Anne-Katrin Mahlein