Efficient Cattle Health Monitoring Using a Compact AI Model

The dairy industry plays a crucial role in the global food supply chain, and with the advent of technology, it is evolving rapidly. This work introduces an AI model for monitoring the health of cattle. Traditional dairy farming methods are often labour intensive and reliant on manual monitoring, which can lead to inefficiencies and reduced profitability. Cattle health monitoring by integrating artificial intelligence (AI) with the STM32BL475IOT1A microcontroller. The key innovation lies in an AI model developed for the STM32BL475IOT1A. It is capable of analyzing sensor inputs to detect and predict various health parameters in cattle like temperature, and pulse rate of the cattle by developing an artificial neural network (ANN) in Python that can predict the health of cattle.