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@article{198076,
        author = {Sakshi Janardan Shinge and Rutuja Rajendra Akiwate and Pratiksha Dilip Sutar and Utkarsha Popat Ohale and Avinash Madhukar Bhandare and Pravin subhash Pawar},
        title = {Image based Breed Recognition for Cattle},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {9251-9253},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198076},
        abstract = {This paper presents an automated system for identifying cattle breeds using image processing and machine learning techniques. Accurate breed recognition is important for improving livestock management, productivity, and decision-making in the agriculture sector. The proposed system uses images of cattle as input and processes them through various stages such as image preprocessing, feature extraction, and classification. Key visual features such as color, texture, and body patterns are analyzed to distinguish between different cattle breeds. A machine learning model is used to classify the images and provide accurate breed predictions. The system aims to reduce manual effort, minimize errors, and provide a fast and efficient solution for farmers and researchers.},
        keywords = {},
        month = {April},
        }