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Description
Title Hyperspectral Reflectance and Fluorescence Imaging to Detect Scab Induced Stress in Apple Leaves
Type Publication
Abstract:

Apple scab causes significant losses in the production of this fruit. A timely and more site-specific monitoring and spraying of the disease could reduce the number of applications of fungicides in the fruit industry. The aim of this leaf-scale study therefore lies in the early detection of apple scab infections in a non-invasive and non-destructive way. In order to attain this objective, fluorescence- and hyperspectral imaging techniques were used. An experiment was conducted under controlled environmental conditions, linking hyperspectral reflectance and fluorescence imaging measurements to scab infection symptoms in a susceptible apple cultivar (Malus x domestica Borkh. cv. Braeburn). Plant stress was induced by inoculation of the apple plants with scab spores. The quantum efficiency of Photosystem II (PSII) photochemistry was derived from fluorescence images of leaves under light adapted conditions. Leaves inoculated with scab spores were expected to have lower PSII quantum efficiency than control (mock) leaves. However, besides scab-induced, also immature leaves exhibited low PSII quantum efficiency. Therefore, this study recommends the simultaneous use of fluorescence imaging and hyperspectral techniques. A shortwave infrared narrow-waveband ratio index (R1480/R2135) is presented in this paper as a promising tool to identify scab stress before symptoms become visible to the naked eye. Low PSII quantum efficiency attended by low narrow waveband R1480/R2135 index values points out scab stress in an early stage. Apparent high PSII quantum efficiency together with high overall reflectance in VIS and SWIR spectral domains indicate a severe, well-developed scab infection.

Available from http://www.mdpi.com/2072-4292/1/4/858
Author
DELALIEUX Stephanie
SOMERS Ben
VALCKE Roland
VERSTRAETEN Willem
A. Auwerkerken, S. Lhermitte, J. Keulemans, P. Coppin
Reference
Journal Remote Sensing
Volume 1
Pages 858 - 874
Year 2009
Times cited 0
Institute country Belgium
Type of science
  • Agriculture
  • Biology and Ecology (includes animals and vegetation)
Field of science
  • Biosphere
File details
Added April 4, 2011, 00:00
Last update April 21, 2016, 11:42
Size 554.9 KB
File name JEBpub_20110404140723.pdf
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