Evaluating ten spectral vegetation indices for identifying rust in individual wheat leaves

Title
Evaluating ten spectral vegetation indices for identifying rust in individual wheat leaves
Publication Date
2009
Author(s)
Devadas, Rakhesh
Lamb, David
Simpfendorfer, S
Backhouse, David
( author )
OrcID: https://orcid.org/0000-0003-0663-6002
Email: dbackhou@une.edu.au
UNE Id une-id:dbackhou
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Springer New York LLC
Place of publication
United States of America
DOI
10.1007/s11119-008-9100-2
UNE publication id
une:3487
Abstract
Ten, widely-used vegetation indices (VIs), based on mathematical combinations of narrow-band optical reflectance measurements in the visible/near infrared wavelength range were evaluated for their ability to discriminate leaves of 1 month old wheat plants infected with yellow (stripe), leaf and stem rust. Narrow band indices representing changes in non-chlorophyll pigment concentration and the ratio of non-chlorophyll to chlorophyll pigments proved more reliable in discriminating rust infected leaves from healthy plant tissue. Yellow rust produced the strongest response in all the calculated indices when compared to healthy leaves. No single index was capable of discriminating all three rust species from each other. However the sequential application of the Anthocyannin Reflectance Index to separate healthy, yellow and mixed stem rust/leaf rust classes followed by the Transformed Chlorophyll Absorption and Reflectance Index to separate leaf and stem rust classes would provide for the required species discrimination under laboratory conditions and thus could form the basis of rust species discrimination in wheat under field conditions.
Link
Citation
Precision Agriculture, 10(6), p. 459-470
ISSN
1573-1618
1385-2256
Start page
459
End page
470

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