Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models

Emre Avuçlu

doi:10.47897/bilmes.1328313

TR EN

Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models

Öz

The value of the economy provided by pistachios to the countries where they are grown is increasing day by day. From this point of view, the importance of correct classification of pistachios is known. The more accurately the harvested pistachios are classified, the better the monetary return value. In this study, two different classes of pistachios were classified using VGG16 and VGG19 deep learning architectures. There are 2148 pieces of Kirmizi and Siirt Pistachio in the dataset. Experimental studies were carried out with 5-fold crossvalidation. As a result of the experimental studies, the Accuracy value of 0.802117 and the F1-measure value of 0.830593 were obtained from the average of 5 folds from the VGG16 deep learning model. Likewise, the Accuracy value of 0.779404 and the F-measure value as 0.779404 were obtained from the average of 5 folds from the VGG19 deep learning model.

Anahtar Kelimeler

Pistachio, Deep learning, VGG16, VGG19.

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Derin Öğrenme

Bölüm

Araştırma Makalesi

Yazarlar

Emre Avuçlu ^*
0000-0002-1622-9059
Türkiye

Yayımlanma Tarihi

31 Aralık 2023

Gönderilme Tarihi

16 Temmuz 2023

Kabul Tarihi

1 Ağustos 2023

Yayımlandığı Sayı

Yıl 2023 Cilt: 7 Sayı: 2

DOI

https://doi.org/10.47897/bilmes.1328313

IZ

https://izlik.org/JA28UZ34RF

APA

Avuçlu, E. (2023). Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models. International Scientific and Vocational Studies Journal, 7(2), 79-86. https://doi.org/10.47897/bilmes.1328313

AMA

1.Avuçlu E. Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models. ISVOS. 2023;7(2):79-86. doi:10.47897/bilmes.1328313

Chicago

Avuçlu, Emre. 2023. “Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models”. International Scientific and Vocational Studies Journal 7 (2): 79-86. https://doi.org/10.47897/bilmes.1328313.

EndNote

Avuçlu E (01 Aralık 2023) Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models. International Scientific and Vocational Studies Journal 7 2 79–86.

IEEE

[1]E. Avuçlu, “Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models”, ISVOS, c. 7, sy 2, ss. 79–86, Ara. 2023, doi: 10.47897/bilmes.1328313.

ISNAD

Avuçlu, Emre. “Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models”. International Scientific and Vocational Studies Journal 7/2 (01 Aralık 2023): 79-86. https://doi.org/10.47897/bilmes.1328313.

JAMA

1.Avuçlu E. Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models. ISVOS. 2023;7:79–86.

MLA

Avuçlu, Emre. “Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models”. International Scientific and Vocational Studies Journal, c. 7, sy 2, Aralık 2023, ss. 79-86, doi:10.47897/bilmes.1328313.

Vancouver

1.Emre Avuçlu. Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models. ISVOS. 01 Aralık 2023;7(2):79-86. doi:10.47897/bilmes.1328313

Cited By

Implementation of machine learning algorithms for accurate identification and classification of weeds

Agronomy Journal

https://doi.org/10.1002/agj2.70419

ULUSLARARASI BİLİMSEL VE MESLEKİ ÇALIŞMALAR DERGİSİ, Creative Commons Atıf-GayrıTicari 4.0 Uluslararası (CC BY-NC 4.0) lisansı ile yayınlamasına izin verir. Creative Commons Atıf-GayrıTicari 4.0 Uluslararası (CC BY-NC 4.0) lisansı, eserin ticari kullanım dışında her boyut ve formatta paylaşılmasına, kopyalanmasına, çoğaltılmasına ve orijinal esere uygun şekilde atıfta bulunmak kaydıyla yeniden düzenleme, dönüştürme ve eserin üzerine inşa etme dâhil adapte edilmesine izin verir.

Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models

Öz

Anahtar Kelimeler

Classification of Pistachio Images Using VGG16 and VGG19 Deep Learning Models

Öz

Anahtar Kelimeler

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster

Cited By

Implementation of machine learning algorithms for accurate identification and classification of weeds