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Quantifying of wheat resistance to Fusarium head blight with hyperspectral imaging

  • Autor/in: Alisaac E., J. Behmann, M.T. Kuska, H.-W. Dehne, A.-K. Mahlein
  • Jahr: 2019
  • Zeitschrift: Bornimer Agrartechnische Berichte, 25. Workshop Computer-Bildanalyse in der Landwirtschaft, Bonn, 17.04.2019, Heft 102, ISSN 0947-7314
  • Seite/n: 144-150
  • Stichworte: Wheat, F. graminearum, F. culmorum, Phenotyping, Hyperspectral imaging, Spectral signature, Spectral vegetation indices (SVIs), Supprt Vector Machine (SVM), Area Under Disease Progress Curve (AUDPC), Non-metric multidimensional scaling (NMDS)
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