A computer vision system for coffee beans classification based on computational intelligence techniques

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorOliveira, Emanuelle Morais de-
Autor(es): dc.creatorLeme, Dimas Samid-
Autor(es): dc.creatorBarbosa, Bruno Henrique Groenner-
Autor(es): dc.creatorRodarte, Mirian Pereira-
Autor(es): dc.creatorPereira, Rosemary Gualberto Fonseca Alvarenga-
Data de aceite: dc.date.accessioned2026-02-09T11:53:10Z-
Data de disponibilização: dc.date.available2026-02-09T11:53:10Z-
Data de envio: dc.date.issued2017-06-05-
Data de envio: dc.date.issued2017-06-05-
Data de envio: dc.date.issued2016-02-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/13129-
Fonte completa do material: dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0260877415300108-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1149610-
Descrição: dc.descriptionEvaluating the color of green coffee beans is an important process in defining their quality and market price. This evaluation is normally carried out by visual inspection or using traditional instruments which have some limitations. Thus, the objective of this study was to construct a computer vision system that yields CIE (Commission Internationale d'Eclairage) L*a*b* measurements of green coffee beans and classifies them according to their color. Artificial Neural Networks (ANN) were used as the transformation model and the Bayes classifier was used to classify the coffee beans into four groups: whitish, cane green, green, and bluish-green. The neural networks models achieved a generalization error of 1.15% and the Bayesian classifier was able to classify all samples into their expected classes (100% accuracy). Therefore, the proposed system is effective in classifying variations in the color of green coffee beans and can be used to help growers classify their beans.-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceJournal of Food Engineering-
Palavras-chave: dc.subjectCoffee bean-
Palavras-chave: dc.subjectComputer vision system-
Palavras-chave: dc.subjectBayes classifier-
Palavras-chave: dc.subjectArtificial neural network-
Palavras-chave: dc.subjectPattern recognition-
Palavras-chave: dc.subjectGrãos de café-
Palavras-chave: dc.subjectSistema de visão por computador-
Palavras-chave: dc.subjectClassificação Bayesiana-
Palavras-chave: dc.subjectRedes neurais artificiais-
Palavras-chave: dc.subjectReconhecimento de padrões-
Título: dc.titleA computer vision system for coffee beans classification based on computational intelligence techniques-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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