An IoT-based Intelligent System for Real-time Monitoring of Animal Health and Geolocation for Enhanced Surveillance and Farm Management

Healthy animals form the backbone of thriving ecosystems and robust economies, making their well-being a cornerstone for both ecological resilience and agricultural prosperity. Many animal diseases can progress rapidly, and without immediate attention, they often result in high mortality rates and significant economic losses. The aim of this project is to develop a IoT-based system that enables real-time health monitoring and location tracking of animals, timely treatment, ensuring early detection of diseases to minimize risks and improve overall management efficiency. The proposed system integrates wearable sensors and GPS technology to monitor animal health and location in real-time. It collects physiological data such as heart rate, body temperature, and stress levels, along with environmental parameters measured by the BME680 sensor, including ambient temperature, gas resistance, humidity, and pressure. This allows for accurate differentiation between internal health issues like fever and external factors such as heat stress, while also detecting harmful gases and assessing environmental impacts on animal well-being. The data is transmitted via wireless communication to an IoT cloud platform like ThingSpeak, enabling real-time monitoring, analysis, and improved decision-making for efficient animal management. This system provides a scalable, cost-effective solution for real-time animal health and location monitoring, enhancing welfare and transforming agriculture and conservation practices.