Firmness Classification of Tomato Fruits by Using Colour Parameters

Basit Öğe Kaydı
dc.contributor.authorÖztekin, Yeşim Benal
dc.contributor.authorVursavuş, Kubilay Kazım
dc.contributor.authorKesilmiş, Zehan
dc.date.accessioned2025-01-06T17:23:40Z
dc.date.available2025-01-06T17:23:40Z
dc.date.issued2021
dc.departmentAdana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi
dc.description.abstractAim of study: In this study, firmness classification potential of tomato fruits was investigated by using colour parameters measured with a colour measuring device. Material and methods: 202 ‘Bandita F1’ greenhouse tomatoes were used as trial material. In damage free colour measurements carried out by Minolta CR-400 colour measurement device, L*, a* and b* colour parameters were considered as main parameters. Other colour parameters (a*xb*, a*2, b*2 and a*/b*) were derived from main colour parameters. These colour parameters were associated with tomato firmness. In tomato firmness measurements, the force value at the skin rupture point was used and this value was expressed as tomato firmness. Tomato samples were grouped according to firmness by using clustering analysis method. In addition, linear discrimination analysis method was used in the classification of tomatoes according to firmness. Classification accuracy was improved by linear discrimination analysis and the number of parameters used was decreased with stepwise regression analysis method. The association between tomato firmness and colour parameters (L*, a*, b*, a*xb*, a*2, b*2 and a*/b*) was determined with Pearson Correlation test. Main results: Statistical analysis results showed that the association between tomato firmness and colour parameters was significant (P<0.01). According to linear discrimination analysis results, linear classification accuracy was calculated as 85.64% for main colour parameters approach and as 90.59% for seven colour parameters approach. The results of linear discrimination analysis performed by using the most important three colour parameters determined with stepwise regression analysis method showed that correct classification accuracy of tomatoes was 89.10%. Research highlights: The results showed that firmness classification of tomatoes could be done by using colour parameters and linear discrimination analysis method.
dc.identifier.doi10.7161/omuanajas.952786
dc.identifier.endpage519
dc.identifier.issn1308-8750
dc.identifier.issn1308-8769
dc.identifier.issue3
dc.identifier.startpage511
dc.identifier.trdizinid1152625
dc.identifier.urihttps://doi.org/10.7161/omuanajas.952786
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1152625
dc.identifier.urihttps://hdl.handle.net/20.500.14669/887
dc.identifier.volume36
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofAnadolu Tarım Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectClustering analysis
dc.subjectmaturity stage
dc.subjecttomato firmness
dc.subjectcolor parameters
dc.subjectlinear discriminanat analysis
dc.titleFirmness Classification of Tomato Fruits by Using Colour Parameters
dc.typeArticle

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