Non-destructive evaluation of surface longitudinal growth strain on Sugi (Cryptomeria japonica) green logs using near-infrared spectroscopy

Abstract

A use of near-infrared (NIR) spectroscopy for rapidly predicting the longitudinal growth strain (LGS), as a detector of growth stress, was described. NIR spectra and LGS were measured from peripheral locations of three Sugi (Cryptomeria japonica) green logs. Partial least squares regression model for predicting LGS was developed using the spectral range spanning 770-1200 nm. The predicted LGS was correlated with that measured by the strain gauge method. The coefficient of determination and the root mean square error of prediction were 0. 61 and 0. 013%, respectively. The predicted peripheral LGS distribution moderately fitted with the measured one. Our results indicate that NIR spectroscopy has a potential to evaluate the magnitude of longitudinal growth stresses on green logs. © 2011 The Japan Wood Research Society.