Paper Key : IRJ************017
Author: Manisha Bhat,Mahima
Date Published: 07 Jun 2023
Abstract
Gyr Breed Detection using machine learning is a study aimed at developing an automated system for accurately identifying the breed of Gyr cattle. The Gyr breed is highly valued for its adaptability, disease resistance, and milk production, but visually distinguishing Gyr cattle from other similar breeds can be challenging and time-consuming. This research proposes a machine learning approach to address this problem. The methodology involves creating a comprehensive dataset consisting of images of Gyr cattle as well as images of other closely related breeds. These images are preprocessed using techniques such as resizing and normalization to ensure consistency. Feature extraction techniques are then applied to capture discriminative characteristics of the Gyr breed. The results of this research demonstrate the potential of machine learning in accurately identifying Gyr cattle breeds. The proposed system has the potential to provide a reliable and efficient solution for breed identification, benefiting farmers, breeders, and researchers in their decision-making processes related to Gyr cattle management, breeding programs, and conservation efforts.
DOI LINK : 10.56726/IRJMETS41291 https://www.doi.org/10.56726/IRJMETS41291