Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging

Identification of yellow rust in wheat using in-situ spectral reflectance measurements and... The aim of this study was to evaluate the accuracy of the spectro-optical, photochemical reflectance index (PRI) for quantifying the disease index (DI) of yellow rust (Biotroph Puccinia striiformis) in wheat (Triticum aestivum L.), and its applicability in the detection of the disease using hyperspectral imagery. Over two successive seasons, canopy reflectance spectra and disease index (DI) were measured five times during the growth of wheat plants (3 varieties) infected with varying amounts of yellow rust. Airborne hyperspectral images of the field site were also acquired in the second season. The PRI exhibited a significant, negative, linear, relationship with DI in the first season (r 2 = 0.91, n = 64), which was insensitive to both variety and stage of crop development from Zadoks stage 3–9. Application of the PRI regression equation to measured spectral data in the second season yielded a coefficient of determination of r 2 = 0.97 (n = 80). Application of the same PRI regression equation to airborne hyperspectral imagery in the second season also yielded a coefficient of determination of DI of r 2 = 0.91 (n = 120). The results show clearly the potential of PRI for quantifying yellow rust levels in winter wheat, and as the basis for developing a proximal, or airborne/spaceborne imaging sensor of yellow rust in fields of winter wheat. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Precision Agriculture Springer Journals

Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging

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Publisher
Springer US
Copyright
Copyright © 2007 by Springer Science+Business Media, LLC
Subject
Life Sciences; Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences
ISSN
1385-2256
eISSN
1573-1618
D.O.I.
10.1007/s11119-007-9038-9
Publisher site
See Article on Publisher Site

References

  • Use of multispectral radiometry in wheat yellow rust experiments
    Hansen, J. G.
  • Evaluating the accuracy of mapping weeds in fallow fields using airborne digital imaging. Panicum effusum in oilseed rape stubble
    Lamb, D. W.; Weedon, M.
  • The reliability of visual estimates of disease severity on cereal leaves
    Parker, S. P.; Shaw, M. W.; Royle, D. J.
  • Reflectance and transmittance of light by leaves
    Wooley, J. T.

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