Deep Learning based Individual Cattle Face Recognition using Data Augmentation and Transfer Learning
Accurate identification of cattle is essential for monitoring ownership, controlling production supply, preventing disease, and ensuring animal welfare. Despite the widespread use of ear tag-based techniques in livestock farm management, large-scale farms encounter challenges in identifying individu...
Saved in:
Main Authors: | Caner Koç, Kamil Ekinci, Ömer Ertuğrul, Dilara Gerdan Koc, Havva Eylem Polat |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Agriculture, Ankara University
2025-01-01
|
Series: | Journal of Agricultural Sciences |
Subjects: | |
Online Access: | https://dergipark.org.tr/en/download/article-file/4042332 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Face Recognition using Deep Learning and TensorFlow framework
by: Makrem Beldi
Published: (2023-12-01) -
Masked and unmasked Face Recognition Model Using Deep Learning Techniques. A case of Black Race.
by: Mabiriz,I, Vicent, et al.
Published: (2024) -
Improved cattle farm classification: leveraging machine learning and linked national datasets
by: Guy-Alain Schnidrig, et al.
Published: (2025-02-01) -
Genes related to the white face colour pattern in eight Russian cattle breeds
by: N. S. Yudin, et al.
Published: (2018-04-01) -
The Contribution of Small Scale Cattle Farming to Farmers Welfare in Nyabihoko-Sub-County, Ntungamo District.
by: Phiona, Atirweho
Published: (2019)