CattleCare: IoT-Based Smart Collar for Automatic Continuous Vital and Activity Monitoring of Cattle

Farm productivity is increasing these days drastically due to farm automation and new technical procedures. The cattle health monitoring system is a current research topic in agricultural automation. However, most of them focus on health parameters and do not include the feedback system. This paper proposed an IoT-based CattleCare platform for both vital and activity monitoring of the cattle. The Cattle Activity Prediction algorithm classifies the activities of cattle in order to keep track of behavioral changes in cattle as well as their health parameters. The system algorithm can predict cattle activity like grazing, stationary, or walking with an accuracy of 91.46%. The sickness of the cattle can be observed by the change in its behavior for that it is really important to keep track of its activities. This model has stages like data collection, storage, analysis, prediction and feedback. With the advancement in technology and the existence of the internet, we can practically connect any device to the internet and implement the concept of IoT.