Developing an Automatic Color Determination Procedure for the Quality Assessment of Mangos (Mangifera indica) Using a CCD Camera and Color Standards

dc.contributor.authorRatprakhon, Khanitta
dc.contributor.authorNeubauer, Werner
dc.contributor.authorRiehn, Katharina
dc.contributor.authorFritsche, Jan
dc.contributor.authorRohn, Sascha
dc.date.accessioned2021-01-07T13:12:15Z
dc.date.available2021-01-07T13:12:15Z
dc.date.issued2020-11-21
dc.date.updated2020-12-18T17:00:34Z
dc.description.abstractColor is one of the key sensory characteristics in the evaluation of the quality of mangos (Mangifera indica) especially with regard to determining the optimal level of ripeness. However, an objective color determination of entire fruits can be a challenging task. Conventional evaluation methods such as colorimetric or spectrophotometric procedures are primarily limited to a homogenous distribution of the color. Accordingly, a direct assessment of the mango quality with regard to color requires more pronounced color determination procedures. In this study, the color of the peel and the pulp of the mango cultivars “Nam Dokmai”, “Mahachanok”, and “Kent” was evaluated and categorized into various levels of ripeness using a charge-coupled device (CCD) camera in combination with a computer vision system and color standards. The color evaluation process is based on a transformation of the RGB (red, green, and blue) color space values into the HSI (hue, saturation, and intensity) color system and the Natural Color Standard (NCS). The results showed that for pulp color codes, 0560-Y20R and 0560-Y40R can be used as appropriate indicators for the ripeness of the cultivars “Nam Dokmai” and “Mahachanok”. The peels of these two mango cultivars present two distinct colors (1050-Y40R and 1060-Y40R), which can be used to determine the fruit maturity during the post-ripening process. However, in the case of the cultivar “Kent”, peel color detection was not an applicable approach for determining ripeness; thus, the determination of the pulp color with the color code 0550-Y20R gave promising results.en
dc.identifier.eissn2304-8158
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/12370
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-11210
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc540 Chemie und zugeordnete Wissenschaftende
dc.subject.othermango coloren
dc.subject.otherCCD cameraen
dc.subject.othercomputer vision systemen
dc.subject.otherNCS color standarden
dc.titleDeveloping an Automatic Color Determination Procedure for the Quality Assessment of Mangos (Mangifera indica) Using a CCD Camera and Color Standardsen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber1709en
dcterms.bibliographicCitation.doi10.3390/foods9111709en
dcterms.bibliographicCitation.issue11en
dcterms.bibliographicCitation.journaltitleFoodsen
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume9en
tub.accessrights.dnbfreeen
tub.affiliationFak. 3 Prozesswissenschaften::Inst. Lebensmitteltechnologie und Lebensmittelchemie::FG Lebensmittelchemie und Analytikde
tub.affiliation.facultyFak. 3 Prozesswissenschaftende
tub.affiliation.groupFG Lebensmittelchemie und Analytikde
tub.affiliation.instituteInst. Lebensmitteltechnologie und Lebensmittelchemiede
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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