Use of machine learning models-based image analysis for classification of haploid and diploid maize

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dc.authoridKahrıman, Fatih / 0000-0001-6944-0512
dc.contributor.authorKahrıman, Fatih
dc.contributor.authorGüz, Abdurrahman Muhammed
dc.contributor.authorPehlivan, İpek
dc.date.accessioned2025-01-27T20:46:17Z
dc.date.available2025-01-27T20:46:17Z
dc.date.issued2023
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractImage analysis is a straightforward and non-destructive technique used to identify haploids/diploids in maize. This study was carried out to characterize haploid/diploid maize kernels based on color space data and to compare the success of classification models developed using different machine learning techniques in maize. In this study, haploid (n=390) and diploid (n=495) kernels obtained by crossing five different donors with a Navajo inducer were used. Kernel images were collected using a standard desktop scanner. After extracting the RGB color space data, it was converted to hue-saturation-value (HSV) and Lab color spaces. Seven combinations of color space datasets were used as predictor variables. Support vector machines (SVM-C), random forest (RF), classification and regression tree (CART) methods were used to develop ML models. The classification success of the models was found between 0.74 and 0.86. The Support Vector Machines model (Accuracy = 0.86) created with RGB+Lab input data was the best.
dc.identifier.doi10.1590/1984-70332023v23n4a44
dc.identifier.issn1984-7033
dc.identifier.issn1518-7853
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85179982434
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1590/1984-70332023v23n4a44
dc.identifier.urihttps://hdl.handle.net/20.500.12428/24856
dc.identifier.volume23
dc.identifier.wosWOS:001123838600001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherBrazilian Soc Plant Breeding
dc.relation.ispartofCrop Breeding and Applied Biotechnology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20250125
dc.subjectKernel classification
dc.subjectimage analysis
dc.subjectdoubled haploid
dc.subjectmachine learning
dc.titleUse of machine learning models-based image analysis for classification of haploid and diploid maize
dc.typeArticle

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