Abstract

abstract: In recent times, monitoring the health of animals, especially livestock, has become important for early disease  detection and improving their well-being. This project focuses on creating a system that continuously tracks an animal's body  temperature, which is one of the key indicators of health. By using temperature sensors attached to the animal, the system  gathers real-time data. If the temperature deviates from the normal range, the system sends an alert to the owner or veterinarian,  indicating that the animal may be sick. Early detection helps prevent the spread of diseases and reduces treatment costs. This  system can be especially useful on farms to monitor a large number of animals at once. The project can be further expanded  by including other sensors to detect different health parameters, improving the accuracy of disease detection. Animal health  plays a crucial role in farming, veterinary care, and research, but monitoring the health of animals continuously can be  challenging, especially in large populations. This project aims to develop a smart system for Animal Temperature Monitoring  and Disease Detection. The system uses temperature sensors to record the body temperature of animals in real-time. Abnormal  temperature fluctuations, which can be an early sign of illness or infection, are automatically detected by the system.  The collected data is transmitted wirelessly to a central monitoring unit, where it is processed and stored. By applying predefined  thresholds or using machine learning algorithms, the system can analyze the temperature patterns and send alerts via SMS or  mobile app notifications to the farmers or veterinarians when a potential issue is detected. This ensures early intervention,  which can prevent the spread of diseases in a herd, reduce mortality, and lower treatment costs.  In addition to temperature monitoring, the system can be integrated with other sensors to track heart rate, respiratory rate, or  movement, providing a more comprehensive health profile of the animal. These features make it ideal for large farms, zoos,  and research facilities where human monitoring is difficult. The system could also maintain historical records of each animal's  health, aiding in long-term care and analysis.  This project aims to enhance animal welfare by promoting proactive disease management and can be a cost-effective solution  for modern livestock management.  Keywords: Animal Health Monitoring, Temperature Sensors, IoT (Internet of Things), Machine Learning, Temperature  Monitoring,  Real-time data analysis, Mobile Applications