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Title: Evaluating ten spectral vegetation indices for identifying rust in individual wheat leaves
Contributor(s): Devadas, Rakhesh (author); Lamb, David  (author); Simpfendorfer, S (author); Backhouse, David  (author)orcid 
Publication Date: 2009
DOI: 10.1007/s11119-008-9100-2
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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.
Publication Type: Journal Article
Source of Publication: Precision Agriculture, 10(6), p. 459-470
Publisher: Springer
Place of Publication: Amsterdam, The Netherlands
ISSN: 1573-1618
Field of Research (FOR): 090905 Photogrammetry and Remote Sensing
Socio-Economic Outcome Codes: 820507 Wheat
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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