Hyperspectral analysis of Botrytis cinerea infected lettuce
Botrytis cinerea can affect any part of lettuce causing extensive damage and huge loss in production worldwide. Therefore, there is a high need to investigate such pathogen characteristics based on hyperspectral analysis and to evaluate spectral features for the identification and discrimination of B. cinerea at isolate level. Spectral reflectance patterns of different isolates of B. cinerea were carried out indoor and compared with that of molecular ones. Moreover, spectral patterns and statistical features extracted from the significant wavelengths were used in the classification of isolates. No correlation was found among pathological, molecular and spectral characteristics. Molecular patterns showed that 50% of tested isolates were transposa type which was not related to specific spectral pattern. Hyperspectral analyses showed a clear difference in the pattern trend between B. cinerea and Fusarium oxysporum, used as a control. Furthermore, a slight difference
between spectral patterns was observed among some B. cinerea isolates at VNIR spectral range leading to their classification into groups depending on their similarity. The classification map of hyperspectral data showed that the Euclidean distance (ED) has better performance and more robust application than other spectral dissimilarity measures. While, the spectral information divergence (SID) could be considered the worst discrimination measure of isolates. Accordingly, distance matrix analysis confirmed the dissimilarity degrees among different groups of B. cinerea isolates depending on their hyperspectral patterns. In view of the above results, ED parameter was the best spectral similarity measure, used to discriminate hyperspectral data of B. cinerea isolates.
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