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Pest Management Science|November 25, 2020
Evidence for the association of target-site resistance in cyp51 with reduced DMI sensitivity in European Cercospora beticola field isolatesMaximilian M Muellender, Anne-Katrin Mahlein, Gerd Stammler, et al.
Phytopathology|February 15, 2021
A Hyperspectral Library of Foliar Diseases of WheatDavid Bohnenkamp, Jan Behmann, Stefan Paulus, et al.
Phytopathology|September 23, 2025
Phenotyping of Syndrome "Basses Richesses" in Sugar Beet by Morphological and Spectral TraitsJustus Detring, Jonas Bömer, Ayan Gupta, et al.
Integrated Environmental Assessment and Management|July 22, 2021
Is there a risk to honeybees from use of thiamethoxam as a sugar beet seed treatment?Helen Thompson, Sarah Vaughan, Anne-Katrin Mahlein, et al.
Sensors (Basel, Switzerland)|February 19, 2014
Low-cost 3D systems: suitable tools for plant phenotypingStefan Paulus, Jan Behmann, Anne-Katrin Mahlein, et al.
Functional Plant Biology : FPB|June 3, 2020
Observation of plant-pathogen interaction by simultaneous hyperspectral imaging reflection and transmission measurementsStefan Thomas, Mirwaes Wahabzada, Matheus Thomas Kuska, et al.
Plant Methods|January 26, 2012
Hyperspectral imaging for small-scale analysis of symptoms caused by different sugar beet diseasesAnne-Katrin Mahlein, Ulrike Steiner, Christian Hillnhütter, et al.
Frontiers in Plant Science|August 8, 2018
Screening of Barley Resistance Against Powdery Mildew by Simultaneous High-Throughput Enzyme Activity Signature Profiling and Multispectral ImagingMatheus T Kuska, Jan Behmann, Dominik K Großkinsky, et al.
Plant Disease|May 18, 2022
Disease Incidence and Severity of Cercospora Leaf Spot in Sugar Beet Assessed by Multispectral Unmanned Aerial Images and Machine LearningAbel Barreto, Facundo Ramón Ispizua Yamati, Mark Varrelmann, et al.
Plant Methods|April 2, 2023
Workflow for phenotyping sugar beet roots by automated evaluation of cell characteristics and tissue arrangement using digital image processingNelia Nause, Facundo R Ispizua Yamati, Marion Seidel, et al.
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