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8 December 2011Diagnosis method of cucumber downy mildew with NIR hyperspectral imaging
This study was carried out to develop a hyperspectral imaging system in the near infrared (NIR) region (900-1700 nm)
to diagnose cucumber downy mildew. Hyperspectral images were acquired from each diseased cucumber leaf samples
with downy mildew and then their spectral data were extracted. Spectral data were analyzed using principal component
analysis (PCA) to reduce the high dimensionality of the data and for selecting some important wavelengths. Out of 256
wavelengths, only two wavelengths (1426 and 1626nm) of first PC were selected as the optimum wavelengths for the
diagnosis of cucumber downy mildew. The data analysis showed that it is possible to diagnose cucumber downy mildew
with few numbers of wavelengths on the basis of their statistical image features and histogram features. The results
revealed the potentiality of NIR hyperspectral imaging as an objective and non-destructive method for the authentication
and diagnosis of cucumber downy mildew.