IoT Based Smart Poultry Farm in Brunei
Muhammad Faiz Haji Hambali, Ravi Kumar Patchmuthu, Jian Wan
Abstract
Most of the poultry farms in Brunei are manually monitored and controlled. Temperature, humidity, air quality level, lighting, ventilation and food feeding are the important factors that are needed to be monitored and controlled. These factors are directly related to the poultry production. Currently, the mortality rate of broiler chicken in Brunei is higher than the normal rate. This research project is aim to produce healthy chickens and reduce the mortality rate of chicken to improve the productivity in Brunei by automating the process of monitoring and maintaining the temperature, humidity, air quality level and food feeder effectively using Internet of Things (IoT) and Wireless Sensor Networks (WSN). A prototype was created using IoT and WSN technologies and the above parameters were tested against threshold values. When these parameters exceeded the threshold values, corrective processes are initiated automatically that can help to reduce the mortality rate of chickens in the farm. This system also sends automatic alert notification to the user through SMS, Email and WhatsApp. A Web interface is also created to monitor and display these parameters.