Near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/14278 |
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 Eucalyptus grandisEspectroscopia no infravermelho próximo para estimativa da densidade básica da madeira de Eucalyptus urophylla e Eucalyptus grandisNIRSWoodBasic densityEucalyptusNear infrared spectroscopy (NIRS)Regressão dos mínimos quadrados parciaisFolhosasEspectroscopia no infravermelho próximo (NIRS)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.A densidade básica da madeira é indicadora de várias outras propriedades, sendo considerada como característica-chave para muitas aplicações industriais. A espectroscopia no infravermelho próximo (NIRS) é uma técnica rápida, eficiente e capazde predizer essa propriedade, no entanto, deve ser aprimorada a fim de auxiliar o método convencional, que muitas vezes é demorado e oneroso. Objetivou-se, neste trabalho avaliar a eficiência da espectroscopia no infravermelho próximo para estimativa da densidade básica da madeira de Eucalyptus urophylla e Eucalyptus grandis. Os coeficientes de determinação dos modelos de predição variaramentre 0,74 e 0,86 e a relação de desempenho do desvio (RPD) variou entre 1,9 e 2,7. A aplicação de filtro espectral, a detecção e descarte de amostras anômalas (outliers) e a seleção de variáveis (comprimento de ondas) melhoraram o ajuste das calibrações,reduzindo o erro padrão da calibração e validação cruzada (SEC e SECV), e aumentando o coeficiente de determinação (R²) e a RPD.Assim, a técnica NIRS pode ser usada para estimativas da densidade básica da madeira de Eucalyptus urophylla e Eucalyptus grandis.Universidade Federal de Lavras (UFLA)2015-05-202017-08-01T20:14:06Z2017-08-01T20:14:06Z2017-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfHEIN, P. R. G. et al. Near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis. CERNE, Lavras, v. 15, n. 2, p. 133-141, abr./jun. 2009.http://repositorio.ufla.br/jspui/handle/1/142782317-63420104-7760reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttp://www.cerne.ufla.br/site/index.php/CERNE/article/view/197/169Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessHein, Paulo Ricardo GherardiCampos, Ana Carolina MaioliTrugilho, Paulo FernandoLima, José TarcísioChaix, Gilles2021-06-02T23:02:48Zoai:localhost:1/14278Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-06-02T23:02:48Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis Espectroscopia no infravermelho próximo para estimativa da densidade básica da madeira de Eucalyptus urophylla e Eucalyptus grandis |
title |
Near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis |
spellingShingle |
Near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis Hein, Paulo Ricardo Gherardi NIRS Wood Basic density Eucalyptus Near infrared spectroscopy (NIRS) Regressão dos mínimos quadrados parciais Folhosas Espectroscopia no infravermelho próximo (NIRS) |
title_short |
Near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis |
title_full |
Near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis |
title_fullStr |
Near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis |
title_full_unstemmed |
Near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis |
title_sort |
Near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus 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 Near infrared spectroscopy (NIRS) Regressão dos mínimos quadrados parciais Folhosas Espectroscopia no infravermelho próximo (NIRS) |
topic |
NIRS Wood Basic density Eucalyptus Near infrared spectroscopy (NIRS) Regressão dos mínimos quadrados parciais Folhosas Espectroscopia no infravermelho próximo (NIRS) |
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 2017-08-01T20:14:06Z 2017-08-01T20:14:06Z 2017-08-01 |
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 |
HEIN, P. R. G. et al. Near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis. CERNE, Lavras, v. 15, n. 2, p. 133-141, abr./jun. 2009. http://repositorio.ufla.br/jspui/handle/1/14278 |
identifier_str_mv |
HEIN, P. R. G. et al. Near infrared spectroscopy for estimating wood basic density in Eucalyptus urophylla and Eucalyptus grandis. CERNE, Lavras, v. 15, n. 2, p. 133-141, abr./jun. 2009. |
url |
http://repositorio.ufla.br/jspui/handle/1/14278 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.cerne.ufla.br/site/index.php/CERNE/article/view/197/169 |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Lavras (UFLA) |
publisher.none.fl_str_mv |
Universidade Federal de Lavras (UFLA) |
dc.source.none.fl_str_mv |
2317-6342 0104-7760 reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
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UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
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Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
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1815439344467443712 |