Abstract：The present paper discussed wood grading according to modulus of rupture (MOR) by near infrared (NIR) spectroscopy. The calibration model was built between MOR of wood and NIR data in the range of 1 000～1 400 nm with partial least square regression (PLS). The correlation coefficient (r) was 0.89 and the standard error of calibration (SEC) was 6.30 MPa. The MOR of 35 unknown samples was predicted using the model. Wood samples were graded according to their predicted values and true values. The rate of right prediction for A, B and C was 75.0%, 91.3% and 80.0% respectively, and the whole rate of right prediction was 88.6%. The result has proved that near infrared spectroscopy is a fast method for the determination of wood grade in the small clear samples.
王晓旭1，黄安民2*，杨 忠2，杨 瑶1，2 . 近红外光谱用于杉木木材强度分等的研究[J]. 光谱学与光谱分析, 2011, 31(04): 975-978.
WANG Xiao-xu1,HUANG An-min2*, YANG Zhong2, YANG Yao1, 2 . Study on the Wood Grading by Near Infrared Spectroscopy . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(04): 975-978.
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