NEAR INFRARED SPECTROSCOPY FOR ESTIMATING WOOD BASIC DENSITY IN Eucalyptus urophylla AND E. grandis
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/197 |
Resumo: | Wood basic density is indicative of several other properties and is considered a key feature for many industrial applications. Near infrared spectroscopy (NIRS) is a fast, efficient technique that is capable of estimating that property. However, it should be improved in order to complement the often time-consuming and costly conventional method. Research on wood technological properties using near infrared spectroscopy has shown promising results. Thus the aim of this study is to evaluate the efficiency of near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis. The coefficients of determination of the predictive models for cross validation ranged between 0.74 and 0.86 and the ratio performance deviation (RPD) ranged between 1.9 and 2.7. Application of spectral filter, detection and removal of outlier samples, and selection of variables (wavelength) improved the adjustment of calibrations, thereby reducing the standard error of calibration (SEC) and cross validation (SECV) as well as increasing the coefficient of determination (R²) and the RPD. The technique of near infrared spectroscopy can therefore be used for predicting wood basic density in Eucalyptus urophylla and Eucalyptus grandis. |
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NEAR INFRARED SPECTROSCOPY FOR ESTIMATING WOOD BASIC DENSITY IN Eucalyptus urophylla AND E. grandisNIRSwoodbasic densityEucalyptusWood basic density is indicative of several other properties and is considered a key feature for many industrial applications. Near infrared spectroscopy (NIRS) is a fast, efficient technique that is capable of estimating that property. However, it should be improved in order to complement the often time-consuming and costly conventional method. Research on wood technological properties using near infrared spectroscopy has shown promising results. Thus the aim of this study is to evaluate the efficiency of near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis. The coefficients of determination of the predictive models for cross validation ranged between 0.74 and 0.86 and the ratio performance deviation (RPD) ranged between 1.9 and 2.7. Application of spectral filter, detection and removal of outlier samples, and selection of variables (wavelength) improved the adjustment of calibrations, thereby reducing the standard error of calibration (SEC) and cross validation (SECV) as well as increasing the coefficient of determination (R²) and the RPD. The technique of near infrared spectroscopy can therefore be used for predicting wood basic density in Eucalyptus urophylla and Eucalyptus grandis.CERNECERNE2015-05-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/197CERNE; Vol. 15 No. 2 (2009); 133-141CERNE; v. 15 n. 2 (2009); 133-1412317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://cerne.ufla.br/site/index.php/CERNE/article/view/197/169Copyright (c) 2015 Paulo Ricardo Gherardi Hein, Ana Carolina Maioli Campos, Ana Carolina Maioli Campos, Paulo Fernando Trugilho, Ana Carolina Maioli Campos, Paulo Fernando Trugilho, José Tarcísio Lima, Paulo Fernando Trugilho, Gilles Chaix, José Tarcísio Lima, José Tarcísio Lima, Gilles Chaix, Gilles Chaixinfo:eu-repo/semantics/openAccessHein, Paulo Ricardo GherardiCampos, Ana Carolina MaioliTrugilho, Paulo FernandoLima, José TarcísioChaix, Gilles2015-11-05T19:46:58Zoai:cerne.ufla.br:article/197Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:53:37.184728Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
NEAR INFRARED SPECTROSCOPY FOR ESTIMATING WOOD BASIC DENSITY IN Eucalyptus urophylla AND E. grandis |
title |
NEAR INFRARED SPECTROSCOPY FOR ESTIMATING WOOD BASIC DENSITY IN Eucalyptus urophylla AND E. grandis |
spellingShingle |
NEAR INFRARED SPECTROSCOPY FOR ESTIMATING WOOD BASIC DENSITY IN Eucalyptus urophylla AND E. grandis Hein, Paulo Ricardo Gherardi NIRS wood basic density Eucalyptus |
title_short |
NEAR INFRARED SPECTROSCOPY FOR ESTIMATING WOOD BASIC DENSITY IN Eucalyptus urophylla AND E. grandis |
title_full |
NEAR INFRARED SPECTROSCOPY FOR ESTIMATING WOOD BASIC DENSITY IN Eucalyptus urophylla AND E. grandis |
title_fullStr |
NEAR INFRARED SPECTROSCOPY FOR ESTIMATING WOOD BASIC DENSITY IN Eucalyptus urophylla AND E. grandis |
title_full_unstemmed |
NEAR INFRARED SPECTROSCOPY FOR ESTIMATING WOOD BASIC DENSITY IN Eucalyptus urophylla AND E. grandis |
title_sort |
NEAR INFRARED SPECTROSCOPY FOR ESTIMATING WOOD BASIC DENSITY IN Eucalyptus urophylla AND E. grandis |
author |
Hein, Paulo Ricardo Gherardi |
author_facet |
Hein, Paulo Ricardo Gherardi Campos, Ana Carolina Maioli Trugilho, Paulo Fernando Lima, José Tarcísio Chaix, Gilles |
author_role |
author |
author2 |
Campos, Ana Carolina Maioli Trugilho, Paulo Fernando Lima, José Tarcísio Chaix, Gilles |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Hein, Paulo Ricardo Gherardi Campos, Ana Carolina Maioli Trugilho, Paulo Fernando Lima, José Tarcísio Chaix, Gilles |
dc.subject.por.fl_str_mv |
NIRS wood basic density Eucalyptus |
topic |
NIRS wood basic density Eucalyptus |
description |
Wood basic density is indicative of several other properties and is considered a key feature for many industrial applications. Near infrared spectroscopy (NIRS) is a fast, efficient technique that is capable of estimating that property. However, it should be improved in order to complement the often time-consuming and costly conventional method. Research on wood technological properties using near infrared spectroscopy has shown promising results. Thus the aim of this study is to evaluate the efficiency of near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis. The coefficients of determination of the predictive models for cross validation ranged between 0.74 and 0.86 and the ratio performance deviation (RPD) ranged between 1.9 and 2.7. Application of spectral filter, detection and removal of outlier samples, and selection of variables (wavelength) improved the adjustment of calibrations, thereby reducing the standard error of calibration (SEC) and cross validation (SECV) as well as increasing the coefficient of determination (R²) and the RPD. The technique of near infrared spectroscopy can therefore be used for predicting wood basic density in Eucalyptus urophylla and Eucalyptus grandis. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-05-20 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/197 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/197 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/197/169 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
CERNE CERNE |
publisher.none.fl_str_mv |
CERNE CERNE |
dc.source.none.fl_str_mv |
CERNE; Vol. 15 No. 2 (2009); 133-141 CERNE; v. 15 n. 2 (2009); 133-141 2317-6342 0104-7760 reponame:Cerne (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Cerne (Online) |
collection |
Cerne (Online) |
repository.name.fl_str_mv |
Cerne (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
cerne@dcf.ufla.br||cerne@dcf.ufla.br |
_version_ |
1799874939594997760 |