Roasted coffee beans characterization through optoelectronic color sensing

dc.contributor.authorVanegas-Ayala, Sebastian-Camilo
dc.contributor.authorLeal-Lara, Daniel-David
dc.contributor.authorBarón-Velandia, Julio
dc.date.accessioned2024-09-03T00:15:56Z
dc.date.available2024-09-03T00:15:56Z
dc.date.issued2023-12-19
dc.description.abstractThe degree of roasting of the coffee determines the physical properties of the bean which are directly represented in the quality of the coffee, to classify the coffee bean efficiently represents a challenge that has been addressed from different technological approaches with colorimeters. This research aims to simplify the identification of the roast level of ground coffee on the Agtron scale by characterizing the degree of roast using an optoelectronic color sensor and establishing a correlation between the Red, Green, and Blue (RGB) scales. This allows for the assurance of quality levels of the beans right from the roasting process. This research comprehends the collection and preparation of samples, the definition of RGB and CIE L*a*b* values, and their interpretation in the Agtron scale using the red component of the RGB scale. The results showed an efficient and accurate estimation for the roast degree of ground coffee beans (0.1371 MSE) that uses minimum processing requirements and a function to assess the intermediate values in the Agtron scale. The characterization of the roast degree of ground coffee beans using data collected from an optoelectronic color sensor through a high-precision function with a linear structure enables the description of intermediate values not fully represented on the Agtron scale. This enhances the process of identifying the roast degree, facilitating subsequent quality assurance processes by maintaining the beans at the desired roast level.pt_BR
dc.formatpdfpt_BR
dc.identifier.citationVANEGAS-AYALA, S. -C.; LEAL-LARA, D. -D.; BARÓN-VELANDIA, J. Roasted coffee beans characterization through optoelectronic color sensing. Coffee Science - Lavras, v. 18, p. 1-7, 2023. DOI: 10.25186/.v18i.2156. Disponível em: https://coffeescience.ufla.br/index.php/Coffeescience/article/view/2156. Acesso em: 2 sep. 2024.pt_BR
dc.identifier.issn1984-3909
dc.identifier.urihttps://doi.org/10.25186/.v18i.2156pt_BR
dc.identifier.urihttp://www.sbicafe.ufv.br/handle/123456789/14610
dc.language.isoenpt_BR
dc.publisherUniversidade Federal de Lavraspt_BR
dc.relation.ispartofseriesCoffee Science;v. 18, p. 1-7, 2023;
dc.rightsOpen accesspt_BR
dc.subjectAgtronpt_BR
dc.subjectcoffee bean colorpt_BR
dc.subjectcolor sensorpt_BR
dc.subjectRGBpt_BR
dc.subject.classificationCafeicultura::Qualidade de bebidapt_BR
dc.titleRoasted coffee beans characterization through optoelectronic color sensingpt_BR
dc.typeArtigopt_BR

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