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@article{179324,
        author = {Anjali Kumari and Deeksha N and Pranavi P and Dr. Malatesh S H},
        title = {IOT Based Livestock Health Monitoring System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6148-6151},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179324},
        abstract = {IOT-based livestock health monitoring is a
ground-breaking initiative aimed at transforming cattle
care and management. In a nation where cattle play a
pivotal role in rural economies, the absence of accessible
veterinary care, delayed vaccinations, and disease
outbreaks pose significant threats to cattle health and
the livelihoods of dependent communities. This project
offers a comprehensive solution by harnessing cuttingedge technology. It includes a robust cattle information
management system, utilizing speech recognition for
data input to accommodate diverse user literacy levels.
The core feature is an intelligent vaccination scheduler,
creating personalized vaccination plans based on
individual cattle profiles, and sending timely reminders
to owners. It employs advanced image processing to
detect early signs of disease. The project ensures
accessibility through voice-enabled interaction and
simplifies the registration of new cattle and along with
that it includes the cattle tracker and shed cleaning.},
        keywords = {IoT, Cattle management, vaccinations, cattle health, disease Detection, tracker.},
        month = {May},
        }