DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/2179 |
Resumo: | Basic density has been considered a wood quality index because it has a relationship with other properties and affects its industrial application. Several studies have shown that near infrared spectroscopy (NIRS) is able to estimate wood density quickly and reliably. The objective of this study was to develop calibrations for the prediction of basic wood density using the mean values of the trees and spectra measured in wood disks and sawdust as references. The wood basic density of 39 Eucalyptus clones was determined in the laboratory by means of the mean longitudinal positions of 0%, 2%, 10%, 30%, 50% and 75% of the commercial height of the tree by the gravimetric method. NIR spectra were recorded using a spectrometer using optical fiber and integrating sphere directly on the transverse plane of the solid wood in disks collected from diameter et breast height and later in the sawdust. The performance of the NIR based models was evaluated according to the spectral acquisition method and sample preparation. The results showed that the best model for basic density estimation using indirect measurements was developed from the average spectra per clone measured in solid wood disks (R2cv of 0.77 and RMSEcv of 15 kg.m-³). |
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DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENTwood qualitymultivariate statisticNIRSwood sciencewood analysisBasic density has been considered a wood quality index because it has a relationship with other properties and affects its industrial application. Several studies have shown that near infrared spectroscopy (NIRS) is able to estimate wood density quickly and reliably. The objective of this study was to develop calibrations for the prediction of basic wood density using the mean values of the trees and spectra measured in wood disks and sawdust as references. The wood basic density of 39 Eucalyptus clones was determined in the laboratory by means of the mean longitudinal positions of 0%, 2%, 10%, 30%, 50% and 75% of the commercial height of the tree by the gravimetric method. NIR spectra were recorded using a spectrometer using optical fiber and integrating sphere directly on the transverse plane of the solid wood in disks collected from diameter et breast height and later in the sawdust. The performance of the NIR based models was evaluated according to the spectral acquisition method and sample preparation. The results showed that the best model for basic density estimation using indirect measurements was developed from the average spectra per clone measured in solid wood disks (R2cv of 0.77 and RMSEcv of 15 kg.m-³).CERNECERNE2019-11-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/2179CERNE; Vol. 25 No. 3 (2019); 294-300CERNE; v. 25 n. 3 (2019); 294-3002317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/2179/1146Copyright (c) 2019 CERNEinfo:eu-repo/semantics/openAccessArriel, Taiana GuimaraesRamalho, Fernanda Maria GuedesLima, Rebeca Alves BarretoSouza, Kelly Iapuque RodriguesHein, Paulo Ricardo GheradiTrugilho, Paulo Fernando2019-11-14T11:12:47Zoai:cerne.ufla.br:article/2179Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:41.710405Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT |
title |
DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT |
spellingShingle |
DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT Arriel, Taiana Guimaraes wood quality multivariate statistic NIRS wood science wood analysis |
title_short |
DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT |
title_full |
DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT |
title_fullStr |
DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT |
title_full_unstemmed |
DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT |
title_sort |
DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT |
author |
Arriel, Taiana Guimaraes |
author_facet |
Arriel, Taiana Guimaraes Ramalho, Fernanda Maria Guedes Lima, Rebeca Alves Barreto Souza, Kelly Iapuque Rodrigues Hein, Paulo Ricardo Gheradi Trugilho, Paulo Fernando |
author_role |
author |
author2 |
Ramalho, Fernanda Maria Guedes Lima, Rebeca Alves Barreto Souza, Kelly Iapuque Rodrigues Hein, Paulo Ricardo Gheradi Trugilho, Paulo Fernando |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Arriel, Taiana Guimaraes Ramalho, Fernanda Maria Guedes Lima, Rebeca Alves Barreto Souza, Kelly Iapuque Rodrigues Hein, Paulo Ricardo Gheradi Trugilho, Paulo Fernando |
dc.subject.por.fl_str_mv |
wood quality multivariate statistic NIRS wood science wood analysis |
topic |
wood quality multivariate statistic NIRS wood science wood analysis |
description |
Basic density has been considered a wood quality index because it has a relationship with other properties and affects its industrial application. Several studies have shown that near infrared spectroscopy (NIRS) is able to estimate wood density quickly and reliably. The objective of this study was to develop calibrations for the prediction of basic wood density using the mean values of the trees and spectra measured in wood disks and sawdust as references. The wood basic density of 39 Eucalyptus clones was determined in the laboratory by means of the mean longitudinal positions of 0%, 2%, 10%, 30%, 50% and 75% of the commercial height of the tree by the gravimetric method. NIR spectra were recorded using a spectrometer using optical fiber and integrating sphere directly on the transverse plane of the solid wood in disks collected from diameter et breast height and later in the sawdust. The performance of the NIR based models was evaluated according to the spectral acquisition method and sample preparation. The results showed that the best model for basic density estimation using indirect measurements was developed from the average spectra per clone measured in solid wood disks (R2cv of 0.77 and RMSEcv of 15 kg.m-³). |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-11-13 |
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/2179 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/2179 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/2179/1146 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 CERNE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 CERNE |
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. 25 No. 3 (2019); 294-300 CERNE; v. 25 n. 3 (2019); 294-300 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_ |
1799874943796641792 |