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@article{196943,
        author = {Muktai Shankar Ghule and Ashish Sudhakar Bawaskar and Saloni Govind Gaiki and Sakshi Vilas Mali and Vedant Radheshyam Chandankar and Vaishnavi Manohar Jawade},
        title = {Animal Classification System For Cattle And Buffalo},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {6625-6628},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196943},
        abstract = {Traditional manual observation in livestock management is often inefficient and prone to human error. To address this, the proposed Animal Classification System introduces an automated web-based solution designed to identify cattle and buffalo breeds, colors, and types through image processing and machine learning. This integration of technology aims to streamline record-keeping and improve overall dairy management practices.
The system features a dual-layered architecture: a front-end developed using PHP, HTML, CSS, and JavaScript for user interaction, and a back-end powered by a Python-based machine learning model for accurate image recognition. Users can register, log in, and upload animal images, which the system processes against a trained dataset to provide instant classification. Additionally, the platform includes a search function for breed information and a MySQL database to store user data and classification history for future reference.
By automating the identification process, this system provides farmers, researchers, and dairy managers with a fast, reliable, and accessible tool. It serves as a practical demonstration of how machine learning and web technologies can be combined to modernize agricultural support systems and enhance livestock monitoring efficiency.},
        keywords = {Animal Classification, Image Processing, Machine Learning, Cattle Identification, Buffalo Breed Detection, Dairy Management System, Python-Based Classification, Web Application, Livestock Management.},
        month = {April},
        }