Karthik Darvesh*, Nikhil Khande, Sanmay Avhad and Maahi Khemchandani
Cattle health monitoring is essential in the modern world, because of the high demand for dairy products. Regular monitoring is essential to extend the lifecycle of cattle and maintain the quality of dairy products. Unfortunately, observing the health of cattle regularly is difficult in large farms where workers do not have enough time to do so. This paper described IOT devices such as skin temperature, heart rate, and motion sensor. Using this device, you can monitor cattle’s heart rate, activity level, heat stress, the surrounding temperature, and sleep tracking. The IOT system is integrated with the cloud. A machine learning algorithm predicts the health status of cattle based on the sensor’s real time data, observing the real time health status will alert the user if cattle suffer from a health issue, and a mobile app is developed to observe data visualization. Cattle health monitoring systems are designed to monitor the health of individual cattle and quickly diagnose and treat sick cattle.
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