Classification of Haploid and Diploid Maize Seeds based on Pre-Trained Convolutional Neural Networks

dc.authorid0000-0003-3345-8344en_US
dc.contributor.authorDönmez, Emrah
dc.date.accessioned2022-03-31T07:54:50Z
dc.date.available2022-03-31T07:54:50Z
dc.date.issued2020en_US
dc.departmentMTÖ Üniversitesi, Sosyal ve Beşeri Bilimler Fakültesi, Yönetim Bilişim Sistemleri Bölümüen_US
dc.description.abstractAnalysis of agricultural products is an important area that is widely emphasized today. In this context, with the development of technology, computer-aided analysis systems are also being developed. In this study, a system has been proposed for classifying maize seeds as haploid and diploid using pre-trained convolutional neural networks. For this purpose, AlexNet, GoogLeNet, ResNet-18, ResNet-50, and VGG-16 pre-trained models have been used as feature extractors for the haploid and diploid seed classification process. In the first stage, the deep features of haploid and diploid maize seeds have been obtained in these models. The features have been taken from different layers of network architecture. Instead of softmax classifier in the last layer of the network, classifiers based on decision tree, k-nearest neighbor, and support vector machine have been used. According to the classification results with these features, the achievements in network architectures and classifier methods have been observed. The experiments have been carried out on a publicly available dataset consisting of 3000 haploid and diploid maize seed images. The experimental results revealed that the developed classification systems demonstrate a remarkable performance.en_US
dc.identifier.citationDönmez, E. (2020). Classification of Haploid and Diploid Maize Seeds based on Pre-Trained Convolutional Neural Networks. Celal Bayar University Journal of Science, 16(3), 323-331.en_US
dc.identifier.doi10.18466/cbayarfbe.742889
dc.identifier.endpage331en_US
dc.identifier.issue3en_US
dc.identifier.startpage323en_US
dc.identifier.urihttps://doi.org/10.18466/cbayarfbe.742889
dc.identifier.urihttps://hdl.handle.net/20.500.12899/868
dc.identifier.volume16en_US
dc.institutionauthorDönmez, Emrah
dc.language.isoenen_US
dc.publisherCelal Bayar Üniversitesien_US
dc.relation.ispartofCelal Bayar University Journal of Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMaize Seed Identificationen_US
dc.subjectDeep Featuresen_US
dc.subjectArtificial Learningen_US
dc.subjectConvolutional Neural Networksen_US
dc.subjectImage Processingen_US
dc.titleClassification of Haploid and Diploid Maize Seeds based on Pre-Trained Convolutional Neural Networksen_US
dc.typeArticleen_US

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