Abstract

Results showed that the IoT device was able to monitor the real-time environmental conditions of the solar-powered poultry facility, with average measured data ranging between 28 – 35oC temperature, and 56 – 82% relative humidity, while the ambient conditions were between 20 – 33oC and 56 – 95% respectively, when the solar radiation was between 0 – 993 W/m2. In this paper, highlights of the role of Artificial Intelligence (AI) in poultry production systems is discussed. The paper described the operational methodology of the ToI data logger for environmental quality assurance in the poultry production system. AI applications in poultry production will enhance operational efficiency in poultry production systems for food security.