Enhancing Beef Cattle Productivity and Welfare through IoT and Edge Computing: A Comprehensive Quality of Service Analysis Cipto Prabowo(a*)- Zurnawita (a*)(b)
a) Politeknik Negeri Padang
*cipto[at]pnp.ac.id
*zurnawita[at]pnp.ac.id
b) Universitas Andalas
Limau Manis, Indonesia
Abstract
The beef cattle farming industry faces challenges in improving productivity and animal welfare, particularly in real-time monitoring of environmental conditions and livestock behavior. Traditional methods often fail to provide accurate, timely responses to abnormal conditions. This study explores the use of Internet of Things (IoT) and edge computing technologies with low-cost devices to enhance monitoring and efficiency in beef cattle farms. It also examines factors influencing the adoption of these technologies. The developed system includes an esp8266 microcontroller and sensors for temperature, humidity, and ammonia concentration, along with accelerometers attached to cattle. These sensors transmit data to an IoT edge device (Raspberry Pi 3B) using MQTT protocol, which is then forwarded to a cloud server via TCP/IP for further analysis. Notifications are sent to farmers if abnormal conditions are detected. Quality of Service (QoS) testing shows promising results: throughput of 467.28 kbps, 0% packet loss, 14.34 ms average delay, and 6.13 ms jitter. These results indicate that the system provides reliable data transmission and responsive performance, though some challenges remain with jitter and network stability. Future work will focus on optimizing data transmission and integrating machine learning for real-time analysis, supporting broader adoption of IoT technologies in cattle farming.
