Quantitative and qualitative phenotyping of disease resistance of crops by hyperspectral sensors: seamless interlocking of phytopathology, sensors, and machine learning is needed!

2019 | journal article. A publication with affiliation to the University of Göttingen.

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​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 Biology50 pp. 156​-162​.​ DOI: https://doi.org/10.1016/j.pbi.2019.06.007 

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Authors
Mahlein, Anne-Katrin; Kuska, Matheus Thomas; Thomas, Stefan; Wahabzada, Mirwaes; Behmann, Jan; Rascher, Uwe; Kersting, Kristian
Issue Date
2019
Journal
Current Opinion in Plant Biology 
ISSN
1369-5266
Language
English

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