Livestock Monitoring Using IoT Devices Animal husbandry has been practiced by human societies for millennia, and the management of livestock health, productivity, and welfare has always depended on close observation of individual animals and herds. Traditional livestock management required farmers to develop intimate familiarity with their animals, learning to recognize subtle behavioral and physical signs of health status changes. While this knowledge remains valuable, the scale of modern livestock enterprises, often involving thousands of animals, makes comprehensive individual monitoring through observation alone impossibly demanding. Internet of Things technologies are transforming livestock management by automating the collection of individual animal health and behavior data at scale, enabling farmers and veterinarians to maintain high standards of animal care and production efficiency that would be impractical through conventional approaches. Wearable IoT devices for livestock are the most direct application of connected technology to individual animal monitoring. Electronic tags equipped with GPS receivers, accelerometers, gyroscopes, and physiological sensors can be attached to the ears, legs, or necks of cattle, sheep, pigs, and poultry, continuously recording data on animal position, movement patterns, body temperature, and other physiological parameters. The data streams from these devices are transmitted to farm management systems where algorithms analyze patterns to identify animals exhibiting signs of illness, stress, estrus, or other conditions requiring management attention. Estrus detection is a particularly high-value application of livestock IoT monitoring. Accurately identifying the optimal time to breed females is critical for maintaining herd reproductive efficiency, but manual estrus detection requires constant observation and is subject to significant human error, particularly during nighttime periods when many animals exhibit peak estrus behavior. IoT activity monitors that detect the elevated movement and behavioral changes associated with estrus provide around-the-clock monitoring with high detection accuracy, enabling more precise breeding timing and improved conception rates. At Telkom University, researchers in agricultural engineering Laboratories are investigating the application of IoT monitoring technologies to the livestock species most economically significant in the Indonesian context. Projects have addressed the development of low-cost ear tag sensors for cattle health monitoring, testing of activity monitoring systems for poultry welfare assessment, and development of data analytics approaches for identifying disease outbreaks in commercial swine operations. The institution's emphasis on Entrepreneurship ensures that research projects are designed with practical implementation challenges and commercialization opportunities in mind. Disease detection and biosecurity management are among the most critical applications of livestock IoT monitoring. Many infectious diseases of livestock cause subtle changes in behavior and physiology days before clinical symptoms become apparent. IoT monitoring systems that detect these early changes can alert farmers and veterinarians to investigate specific animals before illness progresses to the point of severe health impacts or risk of disease transmission to herd mates. Early intervention not only improves animal welfare outcomes but also reduces treatment costs and prevents the production losses associated with disease spread. Environmental monitoring within livestock housing facilities is another important application of IoT in animal production. Temperature, humidity, air quality, and ventilation parameters within enclosed housing strongly influence animal comfort, growth performance, and disease susceptibility. IoT sensors that continuously monitor these environmental parameters, combined with automated control systems for ventilation, heating, and cooling equipment, enable the maintenance of optimal housing conditions regardless of external weather conditions. https://it.telkomuniversity.ac.id/kampus-terbaik-di-indonesia-versi-webometrics-periode-januari-2026/