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@article{206686,
        author = {Jaswin C A and Prajwal K S and Srujan S S and Sachin Gaonkar and Marisiddappa A H},
        title = {Indian Cattle Breed Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {199-201},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206686},
        abstract = {Go Darshan is an AI-based cattle breed classification model that can classify five primary cattle breeds namely Gir, Red Sindhi, Kankrej, Jersey, and Hallikar using input images. The application uses a customized EfficientNetV2-B0 model that uses deep learning algorithms to learn the unique characteristics of each breed from a carefully selected set of cattle images. To guarantee accurate predictions, a confidence-based validation process is implemented where predictions with less than 80% confidence are discarded to avoid false classifications. The application is made accessible through a Gradio web interface where users can upload cattle images and receive instant breed predictions together with related information such as milk production levels, expected lifespan, climatic conditions suitable for rearing specific breeds, and prevalent diseases associated with various breeds.},
        keywords = {.},
        month = {July},
        }