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Partial least squares analysis of near-infrared hyperspectral images for beef tenderness prediction

โœ Scribed by Konda Naganathan, Govindarajan ;Grimes, Lauren M. ;Subbiah, Jeyamkondan ;Calkins, Chris R. ;Samal, Ashok ;Meyer, George E.


Book ID
107473100
Publisher
Springer-Verlag
Year
2008
Tongue
English
Weight
634 KB
Volume
2
Category
Article
ISSN
1932-7587

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## Abstract Partial leastโ€squares (PLS) regression has been presented as a powerful tool for spectral quantitative measurement. However, the improvement of the robustness and stability of PLS models is still needed, because it is difficult to build a stable model when complex samples are analyzed o