Title :
Multivariate Modeling Dahurian Larch Plantation Wood Density Based on Near Infrared Spectroscopy
Author :
Zhang Hongfu ; Li Yaoxiang ; Jiang Lichun
Author_Institution :
Key Lab. of Sustainable Forest Manage. & Environ. Microorganism Eng. of Heilongjiang Province, Northeast Forestry Univ., Harbin, China
Abstract :
The aim of this study was to analyze the density of larch samples using near-infrared (NIR) spectroscopy. A multivariate analysis (MVA) method of principal component regression (PCR) was applied to the NIR spectroscopy of the samples. Using PCR method, correlation coefficients was 0.954 for the calibration model and 0.911 for the validation model with standard error of calibration (SEC) and standard error of prediction (SEP) of 0.017 and 0.023, respectively. The coefficient of determination (R2) between predicted and actual values was 0.91 for PCR. The study showed that model developed based on PCR method is valid to the samples studied. This study could provide useful information for quick and nondestructive testing of Dahurian Larch Plantation wood density.
Keywords :
calibration; density; infrared spectra; nondestructive testing; principal component analysis; wood; wood processing; PCR; calibration standard error; dahurian larch plantation; multivariate modeling; near infrared spectroscopy; nondestructive testing; prediction standard error; principal component regression; wood density; Absorption; Calibration; Chemicals; Forestry; Infrared spectra; Moisture; Polymers; Predictive models; Spectroscopy; Vibrations; Dahurian Larch (Larix gem elinii Rupr); Density; near infrared spectroscopy; principal component regression;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.328
