Near infrared spectroscopy for estimating wood basic density in eucalyptus urophylla and Eucalyptus grandis

Detalhes bibliográficos
Autor(a) principal: Hein, Paulo Ricardo Gherardi
Data de Publicação: 2009
Outros Autores: Campos, Ana Carolina Maioli, Trugilho, Paulo Fernando, Lima, José Tarcísio, Chaix, Gilles
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/12052
Resumo: Wood basic density is indicative of several other wood properties and is considered as 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 was to evaluate the efficiency of near infrared spectroscopy for estimating wood basic density in both 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 of deviation (RPD) ranged between 1.9 and 2.7. The 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 value. The technique of near infrared spectroscopy can therefore, be used for predicting wood basic density in Eucalyptus urophylla and Eucalyptus grandis.
id UFLA_b61400090298c772abd4cb67a01b9ae5
oai_identifier_str oai:localhost:1/12052
network_acronym_str UFLA
network_name_str Repositório Institucional da UFLA
repository_id_str
spelling 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 grandisNear infrared spectrometryPartial least square regressionHardwoodRegressão dos mínimos quadrados parciaisFolhosasWood basic density is indicative of several other wood properties and is considered as 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 was to evaluate the efficiency of near infrared spectroscopy for estimating wood basic density in both 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 of deviation (RPD) ranged between 1.9 and 2.7. The 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 value. 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 capaz de 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 variaram entre 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 Lavras2016-12-12T19:59:43Z2016-12-12T19:59:43Z2009info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/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/1/12052Cernereponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAHein, Paulo Ricardo GherardiCampos, Ana Carolina MaioliTrugilho, Paulo FernandoLima, José TarcísioChaix, Gillesinfo:eu-repo/semantics/openAccesseng2016-12-12T19:59:55Zoai:localhost:1/12052Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2016-12-12T19:59:55Repositório 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
Near infrared spectrometry
Partial least square regression
Hardwood
Regressão dos mínimos quadrados parciais
Folhosas
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 Near infrared spectrometry
Partial least square regression
Hardwood
Regressão dos mínimos quadrados parciais
Folhosas
topic Near infrared spectrometry
Partial least square regression
Hardwood
Regressão dos mínimos quadrados parciais
Folhosas
description Wood basic density is indicative of several other wood properties and is considered as 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 was to evaluate the efficiency of near infrared spectroscopy for estimating wood basic density in both 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 of deviation (RPD) ranged between 1.9 and 2.7. The 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 value. The technique of near infrared spectroscopy can therefore, be used for predicting wood basic density in Eucalyptus urophylla and Eucalyptus grandis.
publishDate 2009
dc.date.none.fl_str_mv 2009
2016-12-12T19:59:43Z
2016-12-12T19:59:43Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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/1/12052
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/1/12052
dc.language.iso.fl_str_mv eng
language eng
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 Universidade Federal de Lavras
publisher.none.fl_str_mv Universidade Federal de Lavras
dc.source.none.fl_str_mv Cerne
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection 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
_version_ 1807835181272268800

Registros relacionados