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@article{206762,
        author = {Manish N S Acharya and Prof. Reshma B and Dhiraj and Harshith Raj and Lijo V Tom},
        title = {AI-Powered Biometric Cow Identification Using Muzzle Patterns},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {352-355},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206762},
        abstract = {Livestock identification is a critical component in modern dairy farming for maintaining accurate records of animal health, productivity, and traceability. Traditional methods such as ear tagging, branding, and RFID suffer from limitations including tag loss, tampering, and animal discomfort. This paper proposes an AI-powered biometric identification system using cow muzzle patterns, which are unique and permanent like human fingerprints. The system integrates YOLOv8 for muzzle detection, ResNet50 for feature extraction, and FAISS for similarity-based matching. The proposed approach enables real-time, non-invasive, and highly accurate identification of cattle using simple images captured through mobile devices. The system is scalable, cost-effective, and suitable for deployment in real farm environments, thereby improving livestock management efficiency.},
        keywords = {Biometric Identification, Cow Muzzle Recognition, YOLOv8, ResNet50, FAISS, Deep Learning.},
        month = {July},
        }