Review Paper on IOT based Cattle Health Monitoring System

Cattle Monitoring is core part of health detection issues. The sensor system, which is based on an accelerometer, provides activity profiles that are used in commercial farms to identify behaviors such as the time spent on rumination. Obtaining this information is crucial for improving farm management decisions. The main aim of the project is to design a system capable of monitoring and analyzing the health of animals and wirelessly storing the data. When cattle become ill, they often have a high fever or ruminate less. This system will help to monitor and analyse health related issues of cattle as well as reduce the work of farmers. With the help of machine learning model development, the system classifies behavioral status, such as rumination, using data generated by the accelerometer module.