TY  - JOUR
T1  - Transfer Öğrenme Teknikleri Kullanarak Nohut Çeşidi Sınıflandırma
TT  - Chickpea Variety Classification Using Transfer Learning Techniques
AU  - Yalçın, Nesibe
AU  - Kılıç, İbrahim
PY  - 2024
DA  - April
Y2  - 2024
DO  - 10.7212/karaelmasfen.1427715
JF  - Karaelmas Fen ve Mühendislik Dergisi
PB  - Zonguldak Bulent Ecevit University
WT  - DergiPark
SN  - 2146-7277
SP  - 48
EP  - 58
VL  - 14
IS  - 1
LA  - tr
AB  - Tohum saflığı, tarım üretiminde verimi artırmak ve ürün kalite standartlarını karşılamak için oldukça önemlidir. Bu durum, tohum üreticilerinden dağıtıcılarına tarım endüstrisinin, tohum saflığına daha fazla önem vermesini gerektirmektedir. Bu da tohum çeşidi sınıflandırma ve ayırma yöntemlerine ihtiyacı artırmıştır. Çalışma kapsamında, dünyada en çok üretilen yemeklik baklagillerden biri olan nohudun çeşit sınıflandırması problemi ele alınmıştır. Sınıflandırma için 14 adet ön eğitimli derin öğrenme modeli kullanılmış ve model performansları karşılaştırılarak ilgili problem için en başarılı model(ler) tespit edilmeye çalışılmıştır. Başarımı en yüksek modeller VGG16 ve VGG19, sırasıyla %96.7 ve %97 test doğruluklarına sahiptir ve daha verimli, kaliteli ve sürdürülebilir tohum üretiminin sağlanması için önemli bir araç olabilirler.
KW  - Derin öğrenme
KW  - evrişimli sinir ağı
KW  - nohut sınıflandırma
KW  - transfer öğrenme
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UR  - https://doi.org/10.7212/karaelmasfen.1427715
L1  - https://dergipark.org.tr/en/download/article-file/3691723
ER  -