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Near Infrared (NIR) Spectroscopy to Predict Physical Properties of Acacia mangium at Three Different Age Classes

Main Authors: Karlinasari, Lina, Sabed, Merry
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: Masyarakat Peneliti Kayu Indonesia , 2017
Subjects:
near infrared (NIR); wood density; Acacia mangium
nondestructive testing (NDT); Partial Least Square (PLS)
Online Access: http://ejournalmapeki.org/index.php/wrj/article/view/2
http://ejournalmapeki.org/index.php/wrj/article/view/2/2
ctrlnum article-2
fullrecord <?xml version="1.0"?> <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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library Repository Wood Research Journal
library_id 4249
collection Wood Research Journal
repository_id 15056
subject_area Wood/Kayu
Wood Anatomy
Non Wood Forest Products
city BOGOR
province JAWA BARAT
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first_indexed 2021-02-04T03:49:12Z
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