Title: Early disease detection in wheat fields using spectral reflectance
Authors: Bravo, Cedric ×
Moshou, Dimitrios
West, J
McCartney, A
Ramon, Herman #
Issue Date: Feb-2003
Publisher: Academic press inc elsevier science
Series Title: Biosystems engineering vol:84 issue:2 pages:137-145
Abstract: The difference in spectral reflectance between healthy and diseased wheat plants infected with Puccinia striiformis (yellow rust) was investigated. In-field spectral images were taken with a spectrograph mounted at spray boom height. A normalisation method based on reflectance and illumination adjustments was applied. To consider the entire canopy reflection, a spatially moving average was introduced. A classification model based on quadratic discrimination was built on a selected group of wavebands obtained by stepwise variable selection. Through this method, confusion rates dropped from 12 to 4% error classification, based on four different wavebands. These results are very encouraging for the development of a cost-effective optical device for recognising diseases, such as yellow rust, in the field in early spring. (C) 2003 Silsoe Research Institute. All rights reserved.
ISSN: 1537-5110
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Division of Mechatronics, Biostatistics and Sensors (MeBioS)
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science