Real-Time AI-Enabled Cyber-Physical System Based Cattle Disease Detection System

Cattle farming is the second most thing in the farmer’s life after agriculture. In India, milk is a part of our daily lives. Nowadays, due to increasing cattle farming, monitoring the cattle behaviors, health status and predicting the calving time, estrus periods are essential to know the status of the cows which leads to various health issues for people who are consuming that diseased animal's milk and other products of that milk. Camera-based surveillance system for monitoring cattle is expensive and complex. The proposed AI-Enabled Cyber- physical system (CPS)-based monitoring system has reduced the complexity of the system by predicting the abnormal behavior of the cow in advance by using wearable sensors module. IoT-based sensor data is evaluated by a Weight factor distributed algorithm for finding the activities of cows and a Convolution Neural Network (CNN) is used for image analysis with trained datasets. The performance of AI-Enabled CPS-based systems shows high accuracy, and less complexity when compared to other SVM and CNN.