SUPERVISED PATTERN RECOGNITION TECHNIQUES FOR CLASSIFICATION OF EUCALYPTUS SPECIES FROM LEAVES NIR SPECTRA

Three supervised pattern recognition methods (SPRM) were evaluated to discriminate between Eucalyptus globulus and Eucalyptus nitens species applying near infrared (NIR) spectroscopy on leaves. The methods used were k-nearest neighbor (KNN), soft modeling class analogy (SIMCA) and discriminant parti...

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Autores principales:	CASTILLO,ROSARIO, CONTRERAS,DAVID, FREER,JUANITA, RUIZ,JOSE, VALENZUELA,SOFÍA
Lenguaje:	English
Publicado:	Sociedad Chilena de Química 2008
Materias:	Pattern recognition NIR Eucalyptus
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072008000400016
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spelling	oai:scielo:S0717-970720080004000162009-05-22SUPERVISED PATTERN RECOGNITION TECHNIQUES FOR CLASSIFICATION OF EUCALYPTUS SPECIES FROM LEAVES NIR SPECTRACASTILLO,ROSARIOCONTRERAS,DAVIDFREER,JUANITARUIZ,JOSEVALENZUELA,SOFÍA Pattern recognition NIR Eucalyptus Three supervised pattern recognition methods (SPRM) were evaluated to discriminate between Eucalyptus globulus and Eucalyptus nitens species applying near infrared (NIR) spectroscopy on leaves. The methods used were k-nearest neighbor (KNN), soft modeling class analogy (SIMCA) and discriminant partial least squares (PLS-DA). First and second derivatives were used as transform techniques and mean-center (MC) and autoscaling (AS) as preprocessing techniques. The training set was constitued by 288 samples and 20 samples were used as validation set. A significant difference between the assayed methods was not observed, however best results for separation of classes and prediction rate were obtained when first derivative and MC were used for all the recognition pattern methods. Use of leaves and NIR spectroscopy avoids the destructive usual wood analysis in forest industries and facilities the fast classification of these species for forest applications.info:eu-repo/semantics/openAccessSociedad Chilena de QuímicaJournal of the Chilean Chemical Society v.53 n.4 20082008-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072008000400016en10.4067/S0717-97072008000400016
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Pattern recognition NIR Eucalyptus
spellingShingle	Pattern recognition NIR Eucalyptus CASTILLO,ROSARIO CONTRERAS,DAVID FREER,JUANITA RUIZ,JOSE VALENZUELA,SOFÍA SUPERVISED PATTERN RECOGNITION TECHNIQUES FOR CLASSIFICATION OF EUCALYPTUS SPECIES FROM LEAVES NIR SPECTRA
description	Three supervised pattern recognition methods (SPRM) were evaluated to discriminate between Eucalyptus globulus and Eucalyptus nitens species applying near infrared (NIR) spectroscopy on leaves. The methods used were k-nearest neighbor (KNN), soft modeling class analogy (SIMCA) and discriminant partial least squares (PLS-DA). First and second derivatives were used as transform techniques and mean-center (MC) and autoscaling (AS) as preprocessing techniques. The training set was constitued by 288 samples and 20 samples were used as validation set. A significant difference between the assayed methods was not observed, however best results for separation of classes and prediction rate were obtained when first derivative and MC were used for all the recognition pattern methods. Use of leaves and NIR spectroscopy avoids the destructive usual wood analysis in forest industries and facilities the fast classification of these species for forest applications.
author	CASTILLO,ROSARIO CONTRERAS,DAVID FREER,JUANITA RUIZ,JOSE VALENZUELA,SOFÍA
author_facet	CASTILLO,ROSARIO CONTRERAS,DAVID FREER,JUANITA RUIZ,JOSE VALENZUELA,SOFÍA
author_sort	CASTILLO,ROSARIO
title	SUPERVISED PATTERN RECOGNITION TECHNIQUES FOR CLASSIFICATION OF EUCALYPTUS SPECIES FROM LEAVES NIR SPECTRA
title_short	SUPERVISED PATTERN RECOGNITION TECHNIQUES FOR CLASSIFICATION OF EUCALYPTUS SPECIES FROM LEAVES NIR SPECTRA
title_full	SUPERVISED PATTERN RECOGNITION TECHNIQUES FOR CLASSIFICATION OF EUCALYPTUS SPECIES FROM LEAVES NIR SPECTRA
title_fullStr	SUPERVISED PATTERN RECOGNITION TECHNIQUES FOR CLASSIFICATION OF EUCALYPTUS SPECIES FROM LEAVES NIR SPECTRA
title_full_unstemmed	SUPERVISED PATTERN RECOGNITION TECHNIQUES FOR CLASSIFICATION OF EUCALYPTUS SPECIES FROM LEAVES NIR SPECTRA
title_sort	supervised pattern recognition techniques for classification of eucalyptus species from leaves nir spectra
publisher	Sociedad Chilena de Química
publishDate	2008
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072008000400016
work_keys_str_mv	AT castillorosario supervisedpatternrecognitiontechniquesforclassificationofeucalyptusspeciesfromleavesnirspectra AT contrerasdavid supervisedpatternrecognitiontechniquesforclassificationofeucalyptusspeciesfromleavesnirspectra AT freerjuanita supervisedpatternrecognitiontechniquesforclassificationofeucalyptusspeciesfromleavesnirspectra AT ruizjose supervisedpatternrecognitiontechniquesforclassificationofeucalyptusspeciesfromleavesnirspectra AT valenzuelasofia supervisedpatternrecognitiontechniquesforclassificationofeucalyptusspeciesfromleavesnirspectra
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SUPERVISED PATTERN RECOGNITION TECHNIQUES FOR CLASSIFICATION OF EUCALYPTUS SPECIES FROM LEAVES NIR SPECTRA

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