Real-Time Poultry Health Identification Using IoT Test Setup, Optimization and Results

  • Arun Gnana Raj Alex
  • Gnana Jayanthi Joseph
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 968)


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.


IoT Poultry automation Sick detection Sound analysis 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceBharathiyar UniversityCoimbatoreIndia
  2. 2.Department of Computer ScienceRajah Serfoji Government CollegeThanjavurIndia

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