IoT based Animal Health Monitoring System

IoT based Animal Health Monitoring System

Author Name : Vrushali Khalate, DnyaneshwariGawade, Saloni Bankar, Nikita Tambade, Prof. A.R.Patil

ABSTRACT Implementation of an IoT-based animal health monitoring system provides a practical and efficient solution for persecuting health that thrives like cows. This article discusses the development, provision and testing of systems that continuously monitor most important physiological parameters, such as body temperature and exercise patterns using integrated sensors. The collected data is transferred via Bluetooth to a central hub and stored for further analysis of cloud. The system architecture is designed to provide low power consumption and scalability, making it suitable for large-scale deprivation. If a predefined threshold is exceeded, a warning is generated via the Blynk app, allowing for rapid intervention. The system was tested in a controlled environment, demonstrating very accurate reliability in detecting health abnormalities. The results show that this IoT-based approach significantly improves detection of early disease and common animal care. Future improvements will focus on expanding sensor capabilities and optimizing data processing for predictive analytics.