Real-time poultry health identification using iot test setup, optimization and results

Abstract

Poultry industry needs a system to automate the process of identifying the hen is infected or not. We have proposed a system that uses IoT and sensors to analyze and identify the infected hen. This reduces the cost of labor and increase the accuracy of the identification process. In this paper we discuss about the overall system, audio and video analysis methods and comparing the results using Matlab. The process of sick identification has been optimized using the Matlab results.