In this proposed work, the feeding behavior of cow is analyzed to monitor its health condition, through the detection of three most common events of grazing activity such as chew, bite, and chewbite. A healthy cow should have a good means of chew, bite, and chew-bite habits. Hence, an unhealthy cow can be easily identified by its grazing activities and treated immediately. Here, a wearable and compact device is developed, which is used to monitor the grazing events. The device consists of Arduino uno, Accelerometer sensor, Wi-Fi module, and a battery for power supply. This helps the cattle owners to monitor the cattle condition at remote distance via wireless communication. The device was placed on 30 cows and 65 real-time datasets were recorded in which 30 datasets indicated bite event, 26 datasets indicated chew event and 14 datasets indicated chew-bite event and it was verified.