Title: Multivariate modelling of density, strength, and stiffness from near infared for mature, juvenile, and pith wood of longleaf pine (Pinus Palustris)
Author: Via, Brian K.; Shupe, Todd F.; Groom, Leslie H.; Stine, Michael; So, Chi-Leung;
Source: Near Infared Spectroscopy 11:365-378
Publication Series: Miscellaneous Publication
Description: In manufacturing, monitoring the mechanical properties of wood with near infrared spectroscopy (NIR) is an attractive alternative to more conventional methods. However, no attention has been given to see if models differ between juvenile and mature wood. Additionally, it would be convenient if multiple linear regression (MLR) could perform well in the place of more complicated multivariate models. Therefore, the purpose of this paper was to model the strength, stiffness and density of mature and juvenile longleaf pine to NIR spectra with MLR and principal component regression (PCR).
Keywords: Multivariate, principal component, multiple linear, regression, density, modulus, NIR, spectroscopy, wood, lumber
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Via, Brian K.; Shupe, Todd F.; Groom, Leslie H.; Stine, Michael; So, Chi-Leung 2003. Multivariate modelling of density, strength, and stiffness from near infared for mature, juvenile, and pith wood of longleaf pine (Pinus Palustris). Near Infared Spectroscopy 11:365-378
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