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dc.creatorMilovanović, Bojana
dc.creatorTomović, Vladimir
dc.creatorĐekić, Ilija
dc.creatorSolowiej, Bartosz G.
dc.creatorLorenzo, José M.
dc.creatorBarba, Francisco J.
dc.creatorTomašević, Igor
dc.date.accessioned2021-10-21T15:18:25Z
dc.date.available2021-10-21T15:18:25Z
dc.date.issued2021
dc.identifier.issn2193-4126
dc.identifier.urihttp://aspace.agrif.bg.ac.rs/handle/123456789/5914
dc.description.abstractThe scientific journal articles (n = 150) were examined to obtain instrumental egg color data published in the period 2009–2020. The majority of articles originated from Asia (42.0%), investigated yolk color (45.3%), selected Minolta device (65.3%). The greatest part of papers failed to include parameters such as port size (92.0%), observer (90.0%), illuminant (84.0%), technical replicates (70.0%) and calibration method (66.7%), and, therefore, this represents a key matter in conducting comparative research to ensure equivalence in order to trace and compare different research data. Furthermore, the usage of a computer vision system (CVS) for egg color analysis was investigated. The color of five egg species (chicken, goose, duck, quail and turkey) was estimated using a CVS and a traditional colorimeter. The CVS-produced color was highly similar to the actual color of egg sample (ranging from 75.0 to 100.0%). The color of eggshell gathered through the Minolta depicts brighter, less “red” and more “yellow” appearance than CVS. Regarding the color of yolk samples, Minolta had lighter (except the goose's yolk), more “green” and less “yellow” color, whereas CVS indicated the appearance of albumen as lighter (except quail's), more “red” and less “yellow” than colorimeter. Those results read by Minolta showed a non-real color of egg samples, whereas CVS-obtained color was highly similar to the actual egg color sample. Considering these results, it could be concluded that the CVS is a superior alternative for replacing traditional devices by providing better accuracy.sr
dc.language.isoensr
dc.publisherSpringersr
dc.rightsrestrictedAccesssr
dc.sourceJournal of Food Measurement and Characterizationsr
dc.subjectColor measurementsr
dc.subjectColorimetersr
dc.subjectComputer vision systemsr
dc.subjectEgg colorsr
dc.subjectVisual similarity testssr
dc.titleColor assessment of the eggs using computer vision system and Minolta colorimetersr
dc.typearticlesr
dc.rights.licenseARRsr
dc.citation.rankM22
dc.identifier.doi10.1007/s11694-021-01085-4
dc.identifier.scopus2-s2.0-85111563817
dc.identifier.wos000678545800001
dc.type.versionpublishedVersionsr


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Приказ основних података о документу