Integration of Wireless Sensor Network and IoT for Enhanced Broiler Closed-House Monitoring: A Case Study at Broiler Teaching Farm

The monitoring system is an essential component for broiler closed-house farmers. This design aims to implement an efficient monitoring system using Wireless Sensor Network (WSN) technology and the Internet of Things (IoT). This system system enhances chicken coop monitoring and supports online learning at Broiler Teaching Farm. It comprises six sensor nodes and one controller node (gateway). Each sensor node is equipped with a DHT22 sensor for temperature and humidity, an MQ-135 sensor for NH3 gas concentration, and anemometers for wind speed monitoring. Communication between nodes is facilitated by NRF24L01 modules, with the primary node employing an ESP32 and each sensor node using an ATmega328P. The data collected, including temperature, humidity, NH3 gas levels, and wind speed, is wirelessly transmitted to the controller node via the WSN. The controller node then forwards this data to a web-based service using the HTTP protocol. The information is presented in a user-friendly, real-time web platform, offering valuable insights. Moreover, the system can maintain weekly performance records and coop administration records. Furthermore, this implementation represents a significant contribution to the field of animal farming and serves as a foundation for future research and development of livestock monitoring systems. The system offers operators real-time data for prompt decisions on the chicken coop’s status. It’s integrated with an online poultry farming course at Broiler Teaching Farm, allowing students to gain insights into the latest technology in broiler chicken farming. This integration should improve broiler closed-house monitoring, enhancing education quality and environmental management for students and instructors.