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Proceedings Paper

Diagnosis method of cucumber downy mildew with NIR hyperspectral imaging
Author(s): Youwen Tian; Tianlai Li; Lin Zhang; Xiaodong Zhang
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Paper Abstract

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.

Paper Details

Date Published: 8 December 2011
PDF: 6 pages
Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80020U (8 December 2011);
Show Author Affiliations
Youwen Tian, Shenyang Agricultural Univ. (China)
Tianlai Li, Shenyang Agricultural Univ. (China)
Lin Zhang, Shenyang Agricultural Univ. (China)
Xiaodong Zhang, Jiangsu Univ. (China)

Published in SPIE Proceedings Vol. 8002:
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis
Faxiong Zhang; Faxiong Zhang, Editor(s)

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