Estimation of density, moisture content and strength properties of Tectona grandis wood using Near Infrared Spectroscopy

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Main Author: Shri Ram Shukla
Format: Artículo científico
Language:en
Published: Universidad del Bío Bío 2021
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author Shri Ram Shukla
author_facet Shri Ram Shukla
contents Estimation of density, moisture content and strength properties of Tectona grandis wood using Near Infrared Spectroscopy Shri Ram Shukla Suman Kumar Sharma Agrociencias NIRS timber density Calibration models flexural properties Near infrared spectroscopy is non-invasive and may be applied as a rapid and cost effective technique for assessment of quality parameters of timber. Near infrared spectra of Tectona grandis (teak) wood samples were collected before measuring physical (density, equilibrium moisture content) and strength (flexural and compressive) properties using conventional methods. Partial least squares regression was used to develop calibration models between measured wood properties and near infrared data. The best near infrared spectra pre-processing methods differed by property. Linear calibration models with high R², low error and high ratio of performance to deviation values were observed from partial least squares analysis for different wood properties. These linear models may be applied for rapid and precise estimation of the properties examined in testing and evaluation procedures for commercially valuable teak wood. 2021 artículo científico 0717-3644 https://www.redalyc.org/articulo.oa?id=48565417016 https://www.redalyc.org/journal/485/48565417016/ https://www.redalyc.org/journal/485/48565417016/html/ https://www.redalyc.org/journal/485/48565417016/48565417016.epub https://www.redalyc.org/journal/485/48565417016/movil en http://www.redalyc.org/revista.oa?id=485 Maderas. Ciencia y Tecnología application/pdf Universidad del Bío Bío Maderas. Ciencia y Tecnología (Chile) Vol.23
format Artículo científico
id redalyc_48565417016
institution Redalyc
language en
publishDate 2021
publisher Universidad del Bío Bío
spellingShingle Estimation of density, moisture content and strength properties of Tectona grandis wood using Near Infrared Spectroscopy
Shri Ram Shukla
Agrociencias
NIRS
timber
density
Calibration models
flexural properties
Estimation of density, moisture content and strength properties of Tectona grandis wood using Near Infrared Spectroscopy Shri Ram Shukla Suman Kumar Sharma Agrociencias NIRS timber density Calibration models flexural properties Near infrared spectroscopy is non-invasive and may be applied as a rapid and cost effective technique for assessment of quality parameters of timber. Near infrared spectra of Tectona grandis (teak) wood samples were collected before measuring physical (density, equilibrium moisture content) and strength (flexural and compressive) properties using conventional methods. Partial least squares regression was used to develop calibration models between measured wood properties and near infrared data. The best near infrared spectra pre-processing methods differed by property. Linear calibration models with high R², low error and high ratio of performance to deviation values were observed from partial least squares analysis for different wood properties. These linear models may be applied for rapid and precise estimation of the properties examined in testing and evaluation procedures for commercially valuable teak wood. 2021 artículo científico 0717-3644 https://www.redalyc.org/articulo.oa?id=48565417016 https://www.redalyc.org/journal/485/48565417016/ https://www.redalyc.org/journal/485/48565417016/html/ https://www.redalyc.org/journal/485/48565417016/48565417016.epub https://www.redalyc.org/journal/485/48565417016/movil en http://www.redalyc.org/revista.oa?id=485 Maderas. Ciencia y Tecnología application/pdf Universidad del Bío Bío Maderas. Ciencia y Tecnología (Chile) Vol.23
title Estimation of density, moisture content and strength properties of Tectona grandis wood using Near Infrared Spectroscopy
topic Agrociencias
NIRS
timber
density
Calibration models
flexural properties
url https://www.redalyc.org/articulo.oa?id=48565417016
https://www.redalyc.org/journal/485/48565417016/
https://www.redalyc.org/journal/485/48565417016/html/
https://www.redalyc.org/journal/485/48565417016/48565417016.epub
https://www.redalyc.org/journal/485/48565417016/movil