AUTOMATED ANIMAL ACTIVITY MONITORING IN AGRICULTURE WITH ROBOT-WSN SYSTEMS AND IOT INTEGRATION

Abstract

This paper presents an innovative approach to monitoring animal activities in agricultural fields through the integration of a robotic system and a wireless sensor network (WSN) enabled by Internet of Things (IoT) technology. As modern agriculture increasingly relies on technology to enhance productivity and sustainability, effective monitoring of livestock behavior becomes crucial for optimizing farming practices. The proposed system utilizes a robot equipped with various sensors to collect real-time data on animal movements, feeding habits, and overall health status. This data is transmitted wirelessly via the WSN to a centralized IoT platform, allowing farmers to access critical insights and make informed decisions remotely. The implementation of this monitoring system not only enhances operational efficiency but also reduces labor costs and improves animal welfare by facilitating timely interventions. Through comprehensive testing in agricultural environments, the system has demonstrated its effectiveness in accurately tracking animal activities and providing actionable feedback. The findings of this research underscore the potential of combining robotics, WSNs, and IoT to revolutionize agricultural practices, paving the way for smarter, more data-driven farming solutions. This study contributes valuable insights into the development of automated monitoring systems that can significantly enhance productivity and sustainability in the agricultural sector.