Internet of Things Based Smart Poultry Farm

Abstract

quotThe demand for poultry products is increasing exponentially as these are good sources of newlinelow-cost proteins. Ensuring the well-being of birds and delivering nutritious poultry products newlineis essential for both current and future food security needs and sustainable agriculture. newlineUnhealthy environment and disease in poultry farming have direct impact on the well-being of newlinebirds, that causes a considerable loss for farmers and raises food security issues. This research newlinework is motivated by the potential of emerging digital technologies in agriculture to provide newlineinnovative solutions to the challenges faced by farmers, specifically in poultry farming. newlinePrecision farming in poultry involves leveraging technologies such as the Internet of Things, newlineArtificial Intelligence, and Edge Computing to enhance animal health management. newlineA smart poultry farm maintains the farm environment and detects diseases at an early newlinestage in the chickens. Hence, an architecture based on thermographic cameras is proposed for newlineearly identification of sick birds in the poultry farm. Thermographic cameras can detect early newlinesigns of infections in poultry birds and alerts can be sent to the farmers to take necessary newlineprecautions to avoid spread of disease in birds. Additionally, the smart system can monitor newlinecritical parameters such as floor temperature, air flow inlet patterns, and cooling system newlineefficiency, which contribute to the well-being of the birds. Despite numerous benefits, the high newlinesetup cost of thermographic cameras presents a significant barrier to widespread adoption. newlineFurther, a novel automatic sound-based architecture is proposed to increase the movement of newlinebirds inside the broiler chicken farm that directly improves the health of birds. newlineAn Edge-IoT-based model has been proposed to monitor and detect anomalies in the newlineinternal environment of the farm. Raspberry Pi 4 is used as an edge device in place of the high cost GPUs (Graphics Processing Units). A light-weight deep learning (DL) algorithm.