Designing of a Smart Collar for Dairy Cow Behavior Monitoring with Application Monitoring in Microservices and Internet of Things-Based Systems

In Indonesia there is still no monitoring system regarding the condition of cattle in real-time, which is currently used is a microchip RFID Ear Tag which is planted in cattle ears but there is still no communication with the Internet of Things to facilitate cattle farmers in terms of monitoring. The current monitoring is still using human power, this is certainly not effective, especially if you have to monitor the condition of large numbers of cows in a large farm. The instrument of this study there are 3 main parts, namely building a (1) collar device can read body temperature (MLX90615), heart rate sensor(MAX30100), and movement in cattle(GY-25), (2) building a base station for local server management, and (3) web applications to visualize data and analytic health conditions. By collecting data from temperature sensors, heart rate sensors, and inertial measurement unit mounted on the neck of a dairy cow is sent via an internet connection. The collected data is stored and classified using machine learning to produce normal, less normal and abnormal health classification outputs. Moreover, based on the axis sensor produce a graphical output to find out the cows are standing, lying down and eating.