DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT-Reference-Cited by-同舟云学术

DEVELOPING NEAR INFRARED SPECTROSCOPIC MODELS FOR PREDICTING DENSITY OF Eucalyptus WOOD BASED ON INDIRECT MEASUREMENT

Published:2019-07 Issue:3 Volume:25 Page:294-300
ISSN:2317-6342
Container-title:CERNE
language:
Short-container-title:CERNE

Author:

Arriel Taiana Guimarães¹^ORCID,Ramalho Fernanda Maria Guedes¹^ORCID,Lima Rebeca Alves Barreto¹^ORCID,Sousa Kelly Iapuque Rodrigues de¹^ORCID,Hein Paulo Ricardo Gherardi¹^ORCID,Trugilho Paulo Fernando¹^ORCID

Affiliation:

1. Federal University of Lavras, Brazil

Publisher

FapUNIFESP (SciELO)

Subject

Forestry

Link

http://www.scielo.br/pdf/cerne/v25n3/2317-6342-cerne-25-03-294.pdf

Reference33 articles.

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2. common near infrared-based partial least squares regression model for the prediction of wood density of Pinus pinaster and Larix × eurolepis;ALVES A;Wood Sci Technol,2012

3. Evaluation of intra-ring wood density profiles using NIRS: comparison with the X-ray method;BAETTIG R;Ann For Sci,2017

4. Densidade básica e retratibilidade da madeira de clones de três espécies de Eucalyptus;BATISTA D.C.;Cienc Florest,2010

5. Chemometrics: data analysis for the laboratory and chemical plant;BRERETON R.G,2003

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