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@article{192257,
        author = {Sarthak Jaiswal and Hamza Inamdar and Nilesh Admane and Prof. Najib Ghatte},
        title = {Wildlife Tracking and Health Monitoring Using IoT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {1105-1111},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192257},
        abstract = {This paper presents an IoT-based system for real-time wildlife tracking and health monitoring to support biodiversity conservation efforts. The proposed solution comprises a compact sensor unit mounted on the animal, capable of measuring critical physiological and environmental parameters such as temperature, pulse rate, and GPS location. These data are transmitted over long-range LoRa communication to a receiver module, where they are processed, stored in a cloud database, and visualized through a web-based dashboard. 
The system reduces manual intervention, minimizes disturbance to wildlife, and enables continuous monitoring in remote habitats. To enhance decision-making, a machine learning model is integrated to classify potential health conditions using physiological patterns, enabling early detection of abnormalities and timely intervention. The combination of IoT sensing, cloud analytics, and predictive modeling provides a scalable and reliable framework for modern wildlife conservation.},
        keywords = {IoT, wildlife tracking, health monitoring, LoRa communication, biodiversity conservation, physiological sensors, machine learning, cloud analytics.},
        month = {February},
        }