Autor Kersting, Kristian
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2017 | Zeitschriftenartikel |
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. u.a. (2017)
Phytopathology, 107(11) pp. 1388-1398. DOI: https://doi.org/10.1094/PHYTO-04-17-0128-R
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2017 | Zeitschriftenartikel |
Monitoring wound healing in a 3D wound model by hyperspectral imaging and efficient clustering
Wahabzada, M.; Besser, M.; Khosravani, M.; Kuska, M. T.; Kersting, K.; Mahlein, A. K. & Stürmer, E. (2017)
PLoS One, 12(12) art. e0186425. DOI: https://doi.org/10.1371/journal.pone.0186425 10.1371/journal.pone.0186425.g001 10.1371/journal.pone.0186425.g002 10.1371/journal.pone.0186425.g003 10.1371/journal.pone.0186425.g004
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2019 | Zeitschriftenartikel
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
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2019 | Zeitschriftenartikel |
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. u.a. (2019)
Remote Sensing, 11(12) art. 1401. DOI: https://doi.org/10.3390/rs11121401
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2022 | Zeitschriftenartikel
Hyperspectral imaging in the UV-range allows for differentiation of sugar beet diseases based on changes of secondary plant metabolites
Brugger, A.; Ispizua Yamati, F.; Barreto, A.; Paulus, S.; Schramowski, P.; Kersting, K. & Steiner, U. u.a. (2022)
Phytopathology®, art. PHYTO-03-22-0086-R. DOI: https://doi.org/10.1094/PHYTO-03-22-0086-R
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