![]() |
International Journal of Scientific Research and Engineering Development( International Peer Reviewed Open Access Journal ) ISSN [ Online ] : 2581 - 7175 |
IJSRED » Archives » Volume 9 -Issue 2

📑 Paper Information
| 📑 Paper Title | Image-Based Breed Recognition System for Cattle and Buffaloes of India |
| 👤 Authors | Tauheed Altaf Balbatti, Rehan Javed Tamboli, Aman Maulali Mulani, Maheen Faizali Patel |
| 📘 Published Issue | Volume 9 Issue 2 |
| 📅 Year of Publication | 2026 |
| 🆔 Unique Identification Number | IJSRED-V9I2P358 |
| 📑 Search on Google | Click Here |
📝 Abstract
The rapid advancement of artificial intelligence and deep learning technologies has significantly transformed
various sectors, including agriculture and livestock management. Accurate identification of cattle and buffalo
breeds plays a crucial role in improving dairy productivity, breeding practices, and overall farm management.
However, breed identification is often performed manually, which is time-consuming, unstructured, and
dependent on expert knowledge. This leads to inaccuracies, inefficiencies, and lack of standardized breed
classification methods.
This research presents an Image-Based Breed Recognition System for Cattle and Buffaloes of India using
MobileNetV2, a deep learning-based solution designed to automate and streamline the breed identification
process. The system utilizes image processing and a pretrained MobileNetV2 model with transfer learning to
classify cattle and buffalo breeds accurately. It provides features such as image upload, real-time breed
prediction, confidence score display, and a user-friendly web interface.
The proposed system improves accuracy, reduces manual effort, and provides a centralized and efficient
platform for livestock breed identification. It demonstrates how deep learning and modern software
architecture can enhance decision-making in agriculture while ensuring scalability and practical usability for
farmers, researchers, and agricultural organizations.
The advancement of artificial intelligence and deep learning technologies has significantly influenced various
sectors, including agriculture and livestock management. In India, cattle and buffaloes play a vital role in the
dairy industry and rural economy. Accurate identification of animal breeds is essential for improving milk
production, breeding decisions, and overall farm management. However, breed identification is traditionally
performed manually based on physical characteristics, which requires expert knowledge and may lead to
inaccuracies.
📝 How to Cite
Shifa Bilal Tamboli, Simeen Phiroj Mulani, Arman Tajuddin Shiakh,"Image-Based Breed Recognition System for Cattle and Buffaloes of India" International Journal of Scientific Research and Engineering Development, V9(2): Page(2415-2419) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.
📘 Other Details
