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Aucott, L. S.; Buckland, S. T.; Garthwaite, P. H.; Nevison, I. M. and Murray, I.
(1992).
DOI: https://doi.org/10.1039/AN9921700947
Abstract
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.
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About
- Item ORO ID
- 17956
- Item Type
- Journal Item
- ISSN
- 1364-5528
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 1992 RSC Publishing
- Depositing User
- Sara Griffin