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In this paper, thermal (8-13 µm) and hyperspectral imaging in visible and near infrared (VNIR) and short wavelength infrared (SWIR) ranges were used to elaborate a method of early detection of biotic stresses caused by fungal species belonging to the genus  Alternaria  that were host ( Alternaria alternata ,  Alternaria brassicae , and  Alternaria brassicicola ) and non-host ( Alternaria dauci ) pathogens to oilseed rape ( Brassica napus  L.). The measurements of disease severity for chosen dates after inoculation were compared to temperature distributions on infected leaves and to averaged reflectance characteristics. Statistical analysis revealed that leaf temperature distributions on particular days after inoculation and respective spectral characteristics, especially in the SWIR range (1000-2500 nm), significantly differed for the leaves inoculated with  A .  dauci  from the other species of  Alternaria  as well as from leaves of non-treated plants. The significant differences in leaf temperature of the studied  Alternaria  species were observed in various stages of infection development. The classification experiments were performed on the hyperspectral data of the leaf surfaces to distinguish days after inoculation and  Alternaria  species. The second-derivative transformation of the spectral data together with back-propagation neural networks (BNNs) appeared to be the best combination for classification of days after inoculation (prediction accuracy 90.5%) and  Alternaria  species (prediction accuracy 80.5%).

Hyperspectral and Thermal Imaging of Oilseed Rape (Brassica napus) Response to Fungal Species of the Genus Alternaria