Author Mahlein, Anne-Katrin

• 2017 | Journal Article | 
  ​ ​Spectral Patterns Reveal Early Resistance Reactions of Barley Against Blumeria graminis f. sp. hordei​
  Kuska, M. T.; Brugger, A.; Thomas, S.; Wahabzada, M.; Kersting, K.; Oerke, E.-C. & Steiner, U. et al.​ (2017) 
  Phytopathology, 107(11) pp. 1388​-1398​.​ DOI: https://doi.org/10.1094/PHYTO-04-17-0128-R 
  ​Details  DOI 

• 2018 | Journal Article | 
  ​ ​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​
  Seuser, A.; Kurnik, K. & Mahlein, A.-K.​ (2018) 
  Sensors, 18(2) pp. 518​.​ DOI: https://doi.org/10.3390/s18020518 
  ​Details  DOI 

• 2018 | Journal Article
  ​ ​Pflanzenschutz im Zuckerrübenanbau in Deutschland – Situationsanalyse 2018​
  Ladewig, E.; Buhre, C.; Kenter, C.; Stockfisch, N.; Varrelmann, M. & Mahlein, A.-K.​ (2018) 
  Sugar Industry, pp. 708​-722​.​ DOI: https://doi.org/10.36961/si20130 
  ​Details  DOI 

• 2018 | Journal Article | 
  ​ ​Quantitative assessment of disease severity and rating of barley cultivars based on hyperspectral imaging in a non-invasive, automated phenotyping platform​
  Thomas, S.; Behmann, J.; Steier, A.; Kraska, T.; Muller, O.; Rascher, U. & Mahlein, A.-K.​ (2018) 
  Plant Methods, 14(1).​ DOI: https://doi.org/10.1186/s13007-018-0313-8 
  ​Details  DOI  PMID  PMC 

• 2019 | Journal Article
  ​ ​Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!​
  Mahlein, A.-K.; Kuska, M. T.; Thomas, S.; Wahabzada, M.; Behmann, J.; Rascher, U. & Kersting, K.​ (2019) 
  Current Opinion in Plant Biology, 50 pp. 156​-162​.​ DOI: https://doi.org/10.1016/j.pbi.2019.06.007 
  ​Details  DOI 

• 2019 | Journal Article | 
  ​ ​Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range​
  Brugger, A.; Behmann, J.; Paulus, S.; Luigs, H.-G.; Kuska, M. T.; Schramowski, P. & Kersting, K. et al.​ (2019) 
  Remote Sensing, 11(12) art. 1401​.​ DOI: https://doi.org/10.3390/rs11121401 
  ​Details  DOI 

• 2019 | Journal Article | 
  ​ ​Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring Fusarium Head Blight of Wheat on Spikelet Scale​
  Mahlein, A.-K.; Alisaac, E.; Al Masri, A.; Behmann, J.; Dehne, H.-W. & Oerke, E.-C.​ (2019) 
  Sensors, 19(10) pp. 2281​.​ DOI: https://doi.org/10.3390/s19102281 
  ​Details  DOI 

• 2021 | Journal Article
  ​ ​A Hyperspectral Library of Foliar Diseases of Wheat​
  Bohnenkamp, D.; Behmann, J.; Paulus, S.; Steiner, U. & Mahlein, A.-K.​ (2021) 
  Phytopathology,.​ DOI: https://doi.org/10.1094/PHYTO-09-19-0335-R 
  ​Details  DOI 

• 2022 | Journal Article
  ​ ​Agricultural plant cataloging and establishment of a data framework from UAV-based crop images by computer vision​
  Günder, M.; Ispizua Yamati, F. R; Kierdorf, J.; Roscher, R.; Mahlein, A.-K. & Bauckhage, C.​ (2022) 
  GigaScience, 11 art. giac054​.​ DOI: https://doi.org/10.1093/gigascience/giac054 
  ​Details  DOI 

• 2022 | Preprint
  ​ ​Using UAV-imagery for leaf segmentation in diseased plants via mask-based data augmentation and extension of leaf-based phenotyping parameters​
  Barreto, A.; Reifenrath, L.; Vogg, R.; Sinz, F.  & Mahlein, A.-K.​ (2022). DOI: https://doi.org/10.1101/2022.12.19.520984 
  ​Details  DOI 

• 2022 | Journal Article
  ​ ​Disease incidence and severity of Cercospora leaf spot in sugar beet assessed by multispectral unmanned aerial images and machine learning​
  Barreto Alcántara, A. A.; Ispizua Yamati, F. R.; Varrelmann, M.; Paulus, S. & Mahlein, A.-K.​ (2022) 
  Plant Disease, art. PDIS-12-21-2734-RE​.​ DOI: https://doi.org/10.1094/PDIS-12-21-2734-RE 
  ​Details  DOI 

• 2023 | Journal Article
  ​ ​Integrated Nematode Management in a World in Transition: Constraints, Policy, Processes, and Technologies for the Future​
  Sikora, R. A.; Helder, J.; Molendijk, L. P.; Desaeger, J.; Eves-van den Akker, S. & Mahlein, A.-K.​ (2023) 
  Annual Review of Phytopathology, 61(1) art. annurev-phyto-021622-113058​.​ DOI: https://doi.org/10.1146/annurev-phyto-021622-113058 
  ​Details  DOI 

• 2023 | Journal Article | 
  ​ ​Workflow for phenotyping sugar beet roots by automated evaluation of cell characteristics and tissue arrangement using digital image processing​
  Nause, N.; Ispizua Yamati, F. R.; Seidel, M.; Mahlein, A.-K. & Hoffmann, C. M.​ (2023) 
  Plant Methods, 19(1).​ DOI: https://doi.org/10.1186/s13007-023-01014-0 
  ​Details  DOI 

• 2023 | Journal Article | 
  ​ ​Fusarium Head Blight on Wheat: Biology, Modern Detection and Diagnosis and Integrated Disease Management​
  Alisaac, E. & Mahlein, A.-K.​ (2023) 
  Toxins, 15(3) pp. 192​.​ DOI: https://doi.org/10.3390/toxins15030192 
  ​Details  DOI 

• 2023 | Journal Article
  ​ ​Automatic scoring of Rhizoctonia crown and root rot affected sugar beet fields from orthorectified UAV images using Machine Learning​
  Ispizua Yamati, F. R.; Günder, M.; Barreto Alcántara, A. A.; Bömer, J.; Laufer, D.; Bauckhage, C. & Mahlein, A.-K.​ (2023) 
  Plant Disease, art. PDIS-04-23-0779-RE​.​ DOI: https://doi.org/10.1094/PDIS-04-23-0779-RE 
  ​Details  DOI 

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