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18 publications listed for Anne-Katrin Mahlein: Abel Barreto, Facundo Ramón Ispizua Yamati, Mark Varrelmann, Stefan Paulus, and Anne-Katrin Mahlein
Disease incidence and severity of Cercospora leaf spot in sugar beet assessed by multispectral unmanned aerial images and machine learning
Plant Disease 107 (1), 188-200 (2023) Clive H. Bock, Sarah J. Pethybridge, Jayme G.A. Barbedo, Paul D. Esker, Anne-Katrin Mahlein, and Emerson M. Del Ponte
A phytopathometry glossary for the twenty-first century: towards consistency and precision in intra- and inter-disciplinary dialogues
Tropical Plant Pathology 47 (1), 14-24 (2022) Maximilian M. Muellender, Anne-Katrin Mahlein, Gerd Stammler, and Mark Varrelmann
Evidence for the association of target-site resistance in cyp51 with reduced DMI sensitivity in European Cercospora beticola field isolates
Pest Management Science 77 (4), 1765-1774 (2021) Anna Brugger, Patrick Schramowski, Stefan Paulus, Ulrike Steiner, Kristian Kersting, and Anne-Katrin Mahlein
Spectral signatures in the UV range can be combined with secondary plant metabolites by deep learning to characterize barley–powdery mildew interaction
Plant Pathology 70 (7), 1572-1582 (2021) Alan Storelli, Alexandra Minder, Andreas Keiser, Sebastian Kiewnick, Matthias Daub, Anne-Katrin Mahlein, Mario Schumann, and Werner Beyer
Screening of sugar beet pre-breeding populations and breeding lines for resistance to Ditylenchus dipsaci penetration and reproduction
Journal of Plant Diseases and Protection 128 (5), 1303-1311 (2021) Alan Storelli, Sebastian Kiewnick, Matthias Daub, Anne-Katrin Mahlein, Mario Schumann, Werner Beyer, and Andreas Keiser
Virulence and pathogenicity of four Ditylenchus dipsaci populations on sugar beet
European Journal of Plant Pathology 161 (1), 63-71 (2021) Abel Barreto, Stefan Paulus, Mark Varrelmann, and Anne-Katrin Mahlein
Hyperspectral imaging of symptoms induced by Rhizoctonia solani in sugar beet: comparison of input data and different machine learning algorithms
Journal of Plant Diseases and Protection 127 (4), 441-451 (2020) D. Bohnenkamp, M.T. Kuska, A.-K. Mahlein, and J. Behmann
Hyperspectral signal decomposition and symptom detection of wheat rust disease at the leaf scale using pure fungal spore spectra as reference
Plant Pathology 68 (6), 1188-1195 (2019) Anna Brugger, Matheus Thomas Kuska, and Anne-Katrin Mahlein
Impact of compatible and incompatible barley—Blumeria graminis f.sp. hordei interactions on chlorophyll fluorescence parameters
Journal of Plant Diseases and Protection 125 (2), 177-186 (2018) M.T. Kuska, and A.-K. Mahlein
Aiming at decision making in plant disease protection and phenotyping by the use of optical sensors
European Journal of Plant Pathology 152 (4), 987-992 (2018) E. Alisaac, J. Behmann, M.T. Kuska, H.-W. Dehne, and A.-K. Mahlein
Hyperspectral quantification of wheat resistance to Fusarium head blight: comparison of two Fusarium species
European Journal of Plant Pathology 152 (4), 869-884 (2018) Matheus Thomas Kuska, Anna Brugger, Stefan Thomas, Mirwaes Wahabzada, Kristian Kersting, Erich-Christian Oerke, Ulrike Steiner, and Anne-Katrin Mahlein
Spectral patterns reveal early resistance reactions of barley against Blumeria graminis f. sp. hordei
Phytopathology 107 (11), 1388-1398 (2017) Marlene Leucker, Mirwaes Wahabzada, Kristian Kersting, Madlaina Peter, Werner Beyer, Ulrike Steiner, Anne-Katrin Mahlein, and Erich-Christian Oerke
Hyperspectral imaging reveals the effect of sugar beet quantitative trait loci on Cercospora leaf spot resistance
Functional Plant Biology 44 (1), 1-9 (2017) A. Al Masri, B. Hau, H.-W. Dehne, A.-K. Mahlein, and E.-C. Oerke
Impact of primary infection site of Fusarium species on head blight development in wheat ears evaluated by IR-thermography
European Journal of Plant Pathology 147 (4), 855-868 (2017) Anne-Katrin Mahlein
Detection by imaging sensors - parallels and specific demands for precision agriculture and plant phenotyping
Plant Disease 100 (2), 241-251 (2016) Marlene Leucker, Anne-Katrin Mahlein, Ulrike Steiner, and Erich-Christian Oerke
Improvement of lesion phenotyping in Cercospora beticola–sugar beet interaction by hyperspectral imaging
Phytopathology 106 (2), 177-184 (2016) C.A. Berdugo, R. Zito, S. Paulus, and A.-K. Mahlein
Fusion of sensor data for the detection and differentiation of plant diseases in cucumber
Plant Pathology 63 (6), 1344-1356 (2014) Christian Hillnhütter, and Anne-Katrin Mahlein
Neue Ansätze zur frühzeitigen Erkennung und Lokalisierung von Zuckerrübenkrankheiten
[Early detection and localisation of sugar beet diseases: new approaches]
Gesunde Pflanzen 60 (4), 143-149 (2008) Search for additional publications and add them to this list Back to previous screen |
