Rapid estimation of wood density and total extractives of two important Dalbergia species using near-infrared (NIR) spectroscopy and multivariate analysis

Author:

Deepa M. S.1,Shukla S. R.1ORCID

Affiliation:

1. Institute of Wood Science and Technology, Bengaluru, India

Funder

Indian Council of Forestry Research and Education (ICFRE), Dehradun

Publisher

Informa UK Limited

Reference77 articles.

1. Estimating the basic density and mechanical properties of elite loblolly pine families with near infrared spectroscopy;Acquah G.E.;Forest Science,2018

2. A common near infrared-based partial least squares regression model for the prediction of wood density of Pinus pinaster and Larix×Eurolepis;Alves A.;Wood Science and Technology,2012

3. Evaluating basic density calibrations based on NIR spectra recorded on the three wood faces and subject to different mathematical treatments;Amaral E.A.;New Zealand Journal of Forestry Science,2021

4. Tensile properties of cork in the tangential direction: variation with quality, porosity, density and radial position in the cork plank;Anjos O.;Materials and Design,2010

5. Application of portable near infrared spectroscopy for classifying and quantifying Cocoa bean quality parameters;Anyidoho E.K.;Journal of Food Processing and Preservation,2021

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