Classification of Robust and Rotten Apples by Deep Learning Algorithm

Kiyas Kayaalp; Sedat Metlek

doi:10.35377/saucis.03.02.717452

EN

Classification of Robust and Rotten Apples by Deep Learning Algorithm

Abstract

In the study, it is aimed to classify the apples as rotten and robust by using the deep learning algorithm of the apple images taken from the CAPA database. In the proposed model, the processing steps are image reading, preprocessing and classification of apples, respectively. In the image reading stage, images taken from the image database were used. The applied deep learning architecture consists of introduction, convolutional, activation, pooling, memorization, full connection and conclusion layers. The data used in this architecture are divided into two as 80% training and 20% test data. Four different wavelength, 16 kinds of image combinations were used for the training and testing of the system. At the classification stage, a success rate of 91.25% was achieved in detecting rotten and robust apples. As a result, it is predicted that the proposed model can be used in the fruit processing industry to automatically classify rotten and robust apples.

Keywords

References

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Details

Primary Language

English

Subjects

Artificial Intelligence

Journal Section

Research Article

Authors

Kiyas Kayaalp ^*
0000-0002-6483-1124
Türkiye

Sedat Metlek
0000-0002-0393-9908
Türkiye

Publication Date

August 28, 2020

Submission Date

April 9, 2020

Acceptance Date

May 29, 2020

Published in Issue

Year 1970 Volume: 3 Number: 2

DOI

https://doi.org/10.35377/saucis.03.02.717452

IZ

https://izlik.org/JA94TF87CL

Cite

RIS / Bibtex

APA

Kayaalp, K., & Metlek, S. (2020). Classification of Robust and Rotten Apples by Deep Learning Algorithm. Sakarya University Journal of Computer and Information Sciences, 3(2), 112-120. https://doi.org/10.35377/saucis.03.02.717452

AMA

1.Kayaalp K, Metlek S. Classification of Robust and Rotten Apples by Deep Learning Algorithm. SAUCIS. 2020;3(2):112-120. doi:10.35377/saucis.03.02.717452

Chicago

Kayaalp, Kiyas, and Sedat Metlek. 2020. “Classification of Robust and Rotten Apples by Deep Learning Algorithm”. Sakarya University Journal of Computer and Information Sciences 3 (2): 112-20. https://doi.org/10.35377/saucis.03.02.717452.

EndNote

Kayaalp K, Metlek S (August 1, 2020) Classification of Robust and Rotten Apples by Deep Learning Algorithm. Sakarya University Journal of Computer and Information Sciences 3 2 112–120.

IEEE

[1]K. Kayaalp and S. Metlek, “Classification of Robust and Rotten Apples by Deep Learning Algorithm”, SAUCIS, vol. 3, no. 2, pp. 112–120, Aug. 2020, doi: 10.35377/saucis.03.02.717452.

ISNAD

Kayaalp, Kiyas - Metlek, Sedat. “Classification of Robust and Rotten Apples by Deep Learning Algorithm”. Sakarya University Journal of Computer and Information Sciences 3/2 (August 1, 2020): 112-120. https://doi.org/10.35377/saucis.03.02.717452.

JAMA

1.Kayaalp K, Metlek S. Classification of Robust and Rotten Apples by Deep Learning Algorithm. SAUCIS. 2020;3:112–120.

MLA

Kayaalp, Kiyas, and Sedat Metlek. “Classification of Robust and Rotten Apples by Deep Learning Algorithm”. Sakarya University Journal of Computer and Information Sciences, vol. 3, no. 2, Aug. 2020, pp. 112-20, doi:10.35377/saucis.03.02.717452.

Vancouver

1.Kiyas Kayaalp, Sedat Metlek. Classification of Robust and Rotten Apples by Deep Learning Algorithm. SAUCIS. 2020 Aug. 1;3(2):112-20. doi:10.35377/saucis.03.02.717452

Classification of Robust and Rotten Apples by Deep Learning Algorithm

Öz

Classification of Robust and Rotten Apples by Deep Learning Algorithm

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

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