Cattle Monitoring System

Abstract

The Internet of Things (IoT) has become one of the solutions to low agricultural and livestock efficiency and productivity. In this paper, a gyro sensor integration system was created in the context of cow behavior monitoring and milk productivity optimization. The goals and benchmarks for studying cow behavior and increasing milk yield were established. The machine learning models' insights and predictions were rigorously investigated to find patterns and trends in cow behavior. The categorization of the behaviors shown by cows is the primary emphasis of this research. The research focuses on biosensors and wearable technologies with the potential to enhance operations, management, and early illness detection in cattle. There is a need for detection technologies that can foresee possible consequences for a particular population, educate on diagnostic and treatment choices, and predict when and in what group an event is likely to occur.