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

Anne‐Katrin Mahlein, Matheus Thomas Kuśka, Stefan Thomas, Mirwaes Wahabzada, Jan Behmann, Uwe Rascher, Kristian Kersting

Year
2019
Citations
105

Keywords

BiologyHyperspectral imagingBiotechnologyResistance (ecology)PhenomicsArtificial intelligencePlant disease resistanceComputational biologyPlant diseaseMachine learning

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