Poultry Farm Surveillance System Utilizing IoT and Wireless Sensor Network

Abstract

The majority of poultry farms are manually inspected and handled. The critical variables that must be monitored and managed include heat, moisture, air quality, illumination, drying, and foodstuff feeding. These variables directly affect way chicken is grown. The rate of death for broiler chickens is currently higher than average. By effectively automating the process of keeping track of the heat, moisture, air level of quality, and food feeder, this data analysis aims to manufacture nutritious chickens and decrease the risk of death of chickens to enhance productivity. By linking wireless networks of sensors (WSN) and the Web of Things, this is made possible. Combining IoT and WSN technologies, a prototype was built, and the aforementioned parameters were examined against standard limits. When these variables go above the set thresholds, automatic remedial actions are taken that may help lower the farm's chicken risk of dying. Additionally, the user receives automatic S MS alert notifications from this system. To track and display this information, a web function was developed.