Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data

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dc.contributor.authorABBASPOUR-GİLANDEH, Yousef
dc.contributor.authorSABZİ, Sajad
dc.contributor.authorAZADSHAHRAKİ, Farzad
dc.contributor.authorKARİMZADEH, Rouhollah
dc.contributor.authorILBEYGİ, Elham
dc.contributor.authorIGNACİO ARRİBAS, Juan
dc.contributor.departmentZiraat Fakültesitr_TR
dc.date.accessioned2021-09-30T07:37:35Z
dc.date.available2021-09-30T07:37:35Z
dc.date.issued2020-09-04
dc.description.abstractNon-destructive estimation of the chemical properties of fruit is an important goal of researchers in the food industry, since online operations, such as fruit packaging based on the amount of different chemical properties and determining different stages of handling, are done based on these estimations. In this study, chlorophyll a content in Red Delicious apple cultivar is predicted as a chemical property that is altered by apple ripening stage, using non-destructive spectral and color methods combined. Two artificial intelligence methods based on hybrid Multilayer Perceptron Neural Network - Artificial Bee Colony Algorithm (ANN-ABC) and Partial least squares regression (PLSR) were used in order to obtain a non-destructive estimation of chlorophyll a content. In application of the PLSR method, various pre-processing algorithms were used. In order to statistically properly validate the hybrid ANN-ABC predictive method, 20 runs were performed. Results showed that the best regression coefficient of the PLSR method in predicting chlorophyll a content using spectral data alone was 0.918. At the same time, the average determination coefficient over 20 repetitions in hybrid ANN-ABC in the estimation of chlorophyll a content, using spectral data and color features were higher than 0.92±0.040 and 0.89±0.045, respectively, which to our knowledge is a remarkable non-intrusive estimation result.tr_TR
dc.identifier.endpage348tr_TR
dc.identifier.issn/e-issn2148-9297
dc.identifier.issue3tr_TR
dc.identifier.startpage339tr_TR
dc.identifier.urihttps://doi.org/10.15832/ankutbd.523574tr_TR
dc.identifier.urihttp://hdl.handle.net/20.500.12575/75072
dc.identifier.volume26tr_TR
dc.language.isoentr_TR
dc.publisherAnkara Üniversitesitr_TR
dc.relation.isversionof10.15832/ankutbd.523574tr_TR
dc.relation.journalTarım Bilimleri Dergisitr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıtr_TR
dc.subjectSpectroscopytr_TR
dc.subjectNon-destructive estimationtr_TR
dc.subjectColor featurestr_TR
dc.titleNon-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Datatr_TR
dc.typeArticletr_TR

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