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dc.creatorRam Shukla, Shri
dc.creatorKumar Sharma, Suman
dc.date2021-01-01
dc.date.accessioned2023-03-13T20:59:12Z
dc.date.available2023-03-13T20:59:12Z
dc.identifierhttps://revistas.ubiobio.cl/index.php/MCT/article/view/4514
dc.identifier.urihttps://revistaschilenas.uchile.cl/handle/2250/224264
dc.descriptionNear 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 of 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.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidad del Bio-Bioen-US
dc.relationhttps://revistas.ubiobio.cl/index.php/MCT/article/view/4514/46
dc.rightshttp://creativecommons.org/licenses/by/4.0en-US
dc.sourceMaderas-Cienc Tecnol; Vol. 23 (2021); 1-12en-US
dc.sourceMaderas-Cienc Tecnol; Vol. 23 (2021); 1-12es-ES
dc.source0718-221X
dc.source0717-3644
dc.subjectCompression propertiesen-US
dc.subjectdensityen-US
dc.subjectequilibrium moisture contenten-US
dc.subjectflexural propertiesen-US
dc.subjectnear infrared spectroscopyen-US
dc.titleEstimation of density, moisture content and strength properties of Tectona grandis wood using near infrared spectroscopyen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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