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September 10, 2025Jurnal Penelitian Pendidikan IPAOpen Access

Advanced Chicken Breed Identification Using Transfer Learning Techniques with the VGG16 Convolutional Neural Network Architecture

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The model achieved an accuracy of 81% when identifying subtle visual distinctions among chicken breeds.
Utilizing 2,400 labeled images, the approach fine-tunes the VGG16 convolutional neural network for effective classification.
The method uses transfer learning, integrating VGG16 to enhance feature extraction and breed differentiation.
The findings highlight the method's practical applications in poultry farming and biodiversity documentation.

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Implication

Deep learning demonstrates accurate chicken breed classification using transfer learning in images, suggesting novel applications in livestock management.

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Kencana et al. (2025) studied this question.

synapsesocial.com/papers/68c1bb5b54b1d3bfb60ecef9 https://doi.org/10.29303/jppipa.v11i7.11870

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Implication

Deep learning demonstrates accurate chicken breed classification using transfer learning in images, suggesting novel applications in livestock management.

Advanced Chicken Breed Identification Using Transfer Learning Techniques with the VGG16 Convolutional Neural Network Architecture

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Implication

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Advanced Chicken Breed Identification Using Transfer Learning Techniques with the VGG16 Convolutional Neural Network Architecture

Key Points

Discussion

Implication

Cite This Study

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