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Continuous observation of the health and movement of animals is essential in contemporary livestock and wildlife management to guarantee their welfare and avert possible hazards. The IoT-based Animal Tracking and Health Monitoring System described in this research paper uses an Arduino Uno, GPS module, temperature sensor, accelerometer sensor, LCD display, and IoT connectivity to track the position and health status of animals in real time. While the accelerometer sensor examines movement patterns and posture to spot anomalies like extended lying down, which may be signs of injury or disease, the temperature sensor keeps track of the animal's body temperature, allowing for the early diagnosis of fever or illness. Farmers and wildlife researchers can monitor more efficiently. Sensor data is processed by an Arduino Uno and shown locally on an LCD screen; the data is also transmitted via an Internet of Things module, allowing for remote access via cloud-based systems or mobile applications. By offering real-time insights, facilitating early illness identification, and enhancing protection against theft or loss, the suggested method improves livestock management and wildlife conservation. It guarantees effective and automatic animal monitoring, minimises manual labour, and speeds up emergency response times through IoT integration. This creative method makes a substantial contribution to the development of wildlife tracking and intelligent farming technology. Furthermore, the system can be extended to include geofencing capabilities, which alert users if an animal strays beyond a predefined boundary, thereby enhancing containment and safety measures in both farm and wildlife reserve environments.
Keywords:
Wildlife Conservation, GPS Tracking, Temperature Sensor, Remote Health Surveillance
Cite Article:
"Iot-based Animal Tracking And Health Monitoring System", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a181-a189, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505020.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator