RH2: Cheiron

Real-Time Environmental Monitoring of Broiler Houses Using Sensors, Advanced Wireless Networks, and Dashboard Analytics for Livestock and Human Health Management

The project titled “CHEIRON: Real-Time Environmental Monitoring of Broiler Houses Using LoRaWAN Sensors and Dashboard Analytics for Livestock and Human Health Management” focuses on enhancing the welfare of broiler chickens by meticulously monitoring the environmental conditions within their housing systems. Key factors such as air and floor temperature, access to feed and water, space allowance, and air quality are critical for maintaining optimal conditions for broiler welfare. Additionally, the use of oil heaters in broiler units presents a risk of carbon monoxide emissions, necessitating vigilant monitoring to protect both animal and staff health. While existing broiler systems may incorporate some monitoring capabilities, these are often confined to local housing units or a single farm computer.

By leveraging Long-Range Wide Area Networks (LoRaWAN), we will demonstrate an array of sensors for real-time monitoring of environmental conditions, allowing data to be relayed to an online dashboard or sent as SMS notifications to broiler managers. This approach will address connectivity challenges commonly faced in rural broiler house locations. Our focus will include sensors for ammonia and carbon monoxide, among others, which will provide essential information for broiler managers to make informed decisions regarding animal welfare and human safety.


The project is named “CHEIRON” in honor of the Greek centaur associated with healing and veterinary medicine, reflecting our commitment to advancing animal health monitoring through innovative technologies.


Further Reading:

Ojo, R.O., Ajayi, A.O., Owolabi, H.A., Oyedele, L.O. and Akanbi, L.A., 2022. Internet of Things and Machine Learning techniques in poultry health and welfare management: A systematic literature review. Computers and Electronics in Agriculture200, p.107266.

Li, N., Ren, Z., Li, D. and Zeng, L., 2020. Automated techniques for monitoring the behaviour and welfare of broilers and laying hens: towards the goal of precision livestock farming. animal14(3), pp.617-625.