Year 2020, Volume 16 , Issue 3, Pages 323 - 331 2020-09-29

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

Emrah DÖNMEZ [1]


Analysis 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.
Maize Seed Identification, Deep Features, Artificial Learning, Convolutional Neural Networks, Image Processing
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Primary Language en
Subjects Engineering
Journal Section Articles
Authors

Author: Emrah DÖNMEZ (Primary Author)
Institution: İNÖNÜ ÜNİVERSİTESİ
Country: Turkey


Dates

Acceptance Date : September 1, 2020
Publication Date : September 29, 2020

Bibtex @research article { cbayarfbe742889, journal = {Celal Bayar University Journal of Science}, issn = {1305-130X}, eissn = {1305-1385}, address = {}, publisher = {Celal Bayar University}, year = {2020}, volume = {16}, pages = {323 - 331}, doi = {10.18466/cbayarfbe.742889}, title = {Classification of Haploid and Diploid Maize Seeds based on Pre-Trained Convolutional Neural Networks}, key = {cite}, author = {Dönmez, Emrah} }
APA Dönmez, 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 . DOI: 10.18466/cbayarfbe.742889
MLA Dönmez, E . "Classification of Haploid and Diploid Maize Seeds based on Pre-Trained Convolutional Neural Networks" . Celal Bayar University Journal of Science 16 (2020 ): 323-331 <https://dergipark.org.tr/en/pub/cbayarfbe/issue/56964/742889>
Chicago Dönmez, E . "Classification of Haploid and Diploid Maize Seeds based on Pre-Trained Convolutional Neural Networks". Celal Bayar University Journal of Science 16 (2020 ): 323-331
RIS TY - JOUR T1 - Classification of Haploid and Diploid Maize Seeds based on Pre-Trained Convolutional Neural Networks AU - Emrah Dönmez Y1 - 2020 PY - 2020 N1 - doi: 10.18466/cbayarfbe.742889 DO - 10.18466/cbayarfbe.742889 T2 - Celal Bayar University Journal of Science JF - Journal JO - JOR SP - 323 EP - 331 VL - 16 IS - 3 SN - 1305-130X-1305-1385 M3 - doi: 10.18466/cbayarfbe.742889 UR - https://doi.org/10.18466/cbayarfbe.742889 Y2 - 2020 ER -
EndNote %0 Celal Bayar Üniversitesi Fen Bilimleri Dergisi Classification of Haploid and Diploid Maize Seeds based on Pre-Trained Convolutional Neural Networks %A Emrah Dönmez %T Classification of Haploid and Diploid Maize Seeds based on Pre-Trained Convolutional Neural Networks %D 2020 %J Celal Bayar University Journal of Science %P 1305-130X-1305-1385 %V 16 %N 3 %R doi: 10.18466/cbayarfbe.742889 %U 10.18466/cbayarfbe.742889
ISNAD Dönmez, Emrah . "Classification of Haploid and Diploid Maize Seeds based on Pre-Trained Convolutional Neural Networks". Celal Bayar University Journal of Science 16 / 3 (September 2020): 323-331 . https://doi.org/10.18466/cbayarfbe.742889
AMA Dönmez E . Classification of Haploid and Diploid Maize Seeds based on Pre-Trained Convolutional Neural Networks. Celal Bayar Univ J Sci. 2020; 16(3): 323-331.
Vancouver Dönmez E . Classification of Haploid and Diploid Maize Seeds based on Pre-Trained Convolutional Neural Networks. Celal Bayar University Journal of Science. 2020; 16(3): 323-331.