Aucott, L. S.; Buckland, S. T.; Garthwaite, P. H.; Nevison, I. M. and Murray, I.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1039/AN9921700947|
|Google Scholar:||Look up in Google Scholar|
A method of windowing regions of interest in near-infrared reflectance spectra is described. Windows are bounded by wavelengths at which spectra from all samples are re-scaled to zero. These bounds are determined numerically to maximize the correlation between the scaled spectral values within a window and chemical composition, as determined by wet-chemical methods, of a calibration set of samples. It is shown that the method yields predictions of chemical composition of forages that are, on average, more accurate than comparable methods based on principal components regression.
|Item Type:||Journal Article|
|Copyright Holders:||1992 RSC Publishing|
|ISSN:||The Royal Society of Chemistry 2|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Sara Griffin|
|Date Deposited:||21 Aug 2009 13:19|
|Last Modified:||04 Oct 2016 10:27|
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