Study on image analysis application for identification Quinoa seeds (Chenopodium quinoa Willd) geographical provenance

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dc.contributor.authorMedina, W.
dc.contributor.authorSkurtys, O.
dc.contributor.authorAguilera, J. M.
dc.date.accessioned2024-01-10T12:08:55Z
dc.date.available2024-01-10T12:08:55Z
dc.date.issued2010
dc.description.abstractIn quality control procedures of biological materials, the geographical provenance is an important information to know. Image analysis is an accessible method that can provide this data. In this work, the geographical provenance of 25 varieties of quinoa seeds, cultivated in Europe and South America was identified from 38 averaged measurements as geometric dimensions, morphological features, fractal dimensions and color features. Principal component analysis (PCA) and hierarchical cluster analysis carried out with all of data allowed to distinguish the five varieties cultivated in Europe. They were located in one sector of the tridimensional PCA scatter plot, where 75% of the variability are expressed, and in one cluster of the UPGMA dendrogram with a cophenetic correlation coefficient of 0.7. (C) 2009 Elsevier Ltd. All rights reserved.
dc.description.funderFondecyt
dc.description.funderMarcel Loncin Prize of the Institute of Food Technologists
dc.description.funderUniversidad Nacional del Altiplano of Puno, Peru
dc.description.funderCONICYT
dc.fechaingreso.objetodigital01-04-2024
dc.format.extent9 páginas
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.lwt.2009.07.010
dc.identifier.eissn1096-1127
dc.identifier.issn0023-6438
dc.identifier.urihttps://doi.org/10.1016/j.lwt.2009.07.010
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/76441
dc.identifier.wosidWOS:000272198400007
dc.information.autorucIngeniería;Aguilera JM;S/I;99054
dc.information.autorucIngeniería;Medina W;S/I;174359
dc.issue.numero2
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final246
dc.pagina.inicio238
dc.publisherELSEVIER SCIENCE BV
dc.revistaLWT-FOOD SCIENCE AND TECHNOLOGY
dc.rightsacceso restringido
dc.subjectColor features
dc.subjectFractal dimension
dc.subjectimage analysis
dc.subjectImageJ
dc.subjectMorphological features
dc.subjectPrincipal component analysis
dc.subjectQuinoa seeds
dc.subjectCOLOR
dc.subjectCLASSIFICATION
dc.subjectGRAINS
dc.subject.ods02 Zero Hunger
dc.subject.odspa02 Hambre cero
dc.titleStudy on image analysis application for identification Quinoa seeds (Chenopodium quinoa Willd) geographical provenance
dc.typeartículo
dc.volumen43
sipa.codpersvinculados99054
sipa.codpersvinculados174359
sipa.indexWOS
sipa.indexScopus
sipa.trazabilidadCarga SIPA;09-01-2024
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