An Effective Supervised Machine Learning Approach for Indian Native Chicken’s Gender and Breed Classification

An Effective Supervised Machine Learning Approach for Indian Native Chicken’s Gender and Breed Classification

This study proposes a computer vision and machine learning (ML)-based approach to classify gender and breed in native chicken production industries with minimal human intervention. The supervised ML and feature extraction algorithms are utilized to classify eleven Indian chicken breeds, with 17,600...

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Bibliographic Details
Main Authors: Thavamani Subramani, Vijayakumar Jeganathan, Sruthi Kunkuma Balasubramanian
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2023-04-01
Series:Proceedings of Engineering and Technology Innovation
Subjects:
Native chicken breed classification, Gender classification, GLCM, PCA, Machine learning algorithms
Online Access:https://ojs.imeti.org/index.php/PETI/article/view/11361

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