The paper "Livestock Management System" by G. Pavani Naga Priya, K. Hari Priya, S. Jayanth, and A. Jaideep discusses the advancements in farm automation and technological techniques, particularly focusing on cattle health monitoring systems. These systems integrate infrastructure, hardware, and software components to enhance cattle health, which is crucial for overall farm productivity. The authors highlight the importance of continuous monitoring of individual cattle health, especially in dairy farms, to detect health issues early through sensor technology, such as temperature and heart rate monitors. This approach reduces the need for frequent health inspections and long-term healthcare costs. The paper reviews historical developments in agricultural mechanization, including the use of electronic tags, BMOO units, wireless sensors, and temperature probes. It identifies the challenges faced by farmers in monitoring cattle health around the clock and proposes an automatic health monitoring system using IoT sensors (temperature, pulse, and GPS), a MongoDB database, and a Flutter web application. The system is designed to provide timely and accurate health parameter records, ensuring proper treatment for cattle. The conclusion emphasizes that the integration of advanced technologies in cattle health monitoring is revolutionizing livestock management, enhancing farm productivity, and ensuring the welfare of cattle.The paper "Livestock Management System" by G. Pavani Naga Priya, K. Hari Priya, S. Jayanth, and A. Jaideep discusses the advancements in farm automation and technological techniques, particularly focusing on cattle health monitoring systems. These systems integrate infrastructure, hardware, and software components to enhance cattle health, which is crucial for overall farm productivity. The authors highlight the importance of continuous monitoring of individual cattle health, especially in dairy farms, to detect health issues early through sensor technology, such as temperature and heart rate monitors. This approach reduces the need for frequent health inspections and long-term healthcare costs. The paper reviews historical developments in agricultural mechanization, including the use of electronic tags, BMOO units, wireless sensors, and temperature probes. It identifies the challenges faced by farmers in monitoring cattle health around the clock and proposes an automatic health monitoring system using IoT sensors (temperature, pulse, and GPS), a MongoDB database, and a Flutter web application. The system is designed to provide timely and accurate health parameter records, ensuring proper treatment for cattle. The conclusion emphasizes that the integration of advanced technologies in cattle health monitoring is revolutionizing livestock management, enhancing farm productivity, and ensuring the welfare of cattle.