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@article{180231,
        author = {Anteshwar Namdev yenge and Uday rasal and Piyush chavan},
        title = {Ai based automatic health monitoring system for animal cow},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2171-2175},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180231},
        abstract = {An AI-based Automatic Cow Health Monitoring System designed to revolutionize livestock management by leveraging artificial intelligence. The system utilizes machine learning algorithms to analyze data collected from, detecting irregularities in cow behavior and vital health parameters. Advanced AI models are trained to predict potential health issues, such as diseases or stress, by identifying subtle patterns in physiological and environmental data. The system employs techniques such as anomaly detection, and predictive modeling to ensure early diagnosis and prevention of health complications. By automating data analysis and decision-making, the AI-powered system provides accurate, timely insights, empowering farmers to optimize veterinary care and improve herd productivity. This innovation highlights the transformative potential of AI in enhancing livestock health monitoring and sustainable agriculture.},
        keywords = {Health Prediction, AI, Disease Detect, Data Classification.},
        month = {June},
        }