Near Infrared (NIR) Spectroscopy to Predict Physical Properties of Acacia mangium at Three Different Age Classes
Main Authors: | Karlinasari, Lina, Sabed, Merry |
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Format: | Article info application/pdf eJournal |
Bahasa: | eng |
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Masyarakat Peneliti Kayu Indonesia
, 2017
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Subjects: | |
Online Access: |
http://ejournalmapeki.org/index.php/wrj/article/view/2 http://ejournalmapeki.org/index.php/wrj/article/view/2/2 |
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article-2 |
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fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Near Infrared (NIR) Spectroscopy to Predict Physical Properties of Acacia mangium at Three Different Age Classes</title><creator>Karlinasari, Lina</creator><creator>Sabed, Merry</creator><subject lang="en-US">near infrared (NIR); wood density; Acacia mangium, nondestructive testing (NDT); Partial Least Square (PLS)</subject><description lang="en-US">Near Infrared (NIR) spectroscopy has been used to predict several properties of wood. This is one of the nondestructive testing (NDT) methods providing fast and reliable wood characterization analysis which can be applied in various manufacture industry, included forest sector, in control and process monitoring task. Moisture content and wood density are important properties related to strength properties. The aim of this study was to evaluate NIR technique in obtaining calibration models for determining moisture content and wood density of Acacia mangium in the age of 5, 6, 7 years-old. Spectra were measured in both solid and ground wood samples. Laboratory testing of physical properties were determined by volumetric and gravimetric methods. The laboratory values were correlated with the NIR spectra using multivariate analysis statistic of Partial Least Square (PLS). The calibration-validation model of this relationship was evaluated by using the coefficient of determination (R2), root means square error of calibration (RMSEC) and cross-validation (RMSECV) values. Generally, a better accuracy was obtained by using calibration model of ground wood compared to that of solid wood samples. At age of 7 years-old, the R2 allowed the use of NIR spectra of solid samples to develop calibration and validation model, especially for wood density. Based on ratio of performance to deviation (RPD) and RMSE, ground samples demonstrated a higher value of RPD, RMSEC, and RMSECV compared to solid wood for all properties.</description><publisher lang="en-US">Masyarakat Peneliti Kayu Indonesia</publisher><contributor lang="en-US"/><date>2017-04-19</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:</type><type>File:application/pdf</type><identifier>http://ejournalmapeki.org/index.php/wrj/article/view/2</identifier><identifier>10.1234/wrj.v4i1.2</identifier><source lang="en-US">Wood Research Journal; Vol 4, No 1 (2013): Wood Research Journal; 7-12</source><source>2774-9320</source><source>2087-3840</source><language>eng</language><relation>http://ejournalmapeki.org/index.php/wrj/article/view/2/2</relation><rights lang="en-US">Copyright (c) 2017 Wood Research Journal</rights><recordID>article-2</recordID></dc>
|
language |
eng |
format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other Other: File:application/pdf File Journal:eJournal |
author |
Karlinasari, Lina Sabed, Merry |
title |
Near Infrared (NIR) Spectroscopy to Predict Physical Properties of Acacia mangium at Three Different Age Classes |
publisher |
Masyarakat Peneliti Kayu Indonesia |
publishDate |
2017 |
topic |
near infrared (NIR); wood density; Acacia mangium nondestructive testing (NDT); Partial Least Square (PLS) |
url |
http://ejournalmapeki.org/index.php/wrj/article/view/2 http://ejournalmapeki.org/index.php/wrj/article/view/2/2 |
contents |
Near Infrared (NIR) spectroscopy has been used to predict several properties of wood. This is one of the nondestructive testing (NDT) methods providing fast and reliable wood characterization analysis which can be applied in various manufacture industry, included forest sector, in control and process monitoring task. Moisture content and wood density are important properties related to strength properties. The aim of this study was to evaluate NIR technique in obtaining calibration models for determining moisture content and wood density of Acacia mangium in the age of 5, 6, 7 years-old. Spectra were measured in both solid and ground wood samples. Laboratory testing of physical properties were determined by volumetric and gravimetric methods. The laboratory values were correlated with the NIR spectra using multivariate analysis statistic of Partial Least Square (PLS). The calibration-validation model of this relationship was evaluated by using the coefficient of determination (R2), root means square error of calibration (RMSEC) and cross-validation (RMSECV) values. Generally, a better accuracy was obtained by using calibration model of ground wood compared to that of solid wood samples. At age of 7 years-old, the R2 allowed the use of NIR spectra of solid samples to develop calibration and validation model, especially for wood density. Based on ratio of performance to deviation (RPD) and RMSE, ground samples demonstrated a higher value of RPD, RMSEC, and RMSECV compared to solid wood for all properties. |
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Masyarakat Peneliti Kayu Indonesia |
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Wood Research Journal |
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Wood/Kayu Wood Anatomy Non Wood Forest Products |
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JAWA BARAT |
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