Use of machine learning models-based image analysis for classification of haploid and diploid maize
Fatih Kahrıman,
Abdurrahman Muhammed Güz,
İpek Pehlivan
Abstract:Image 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 … Show more
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