2 / 2018-01-31 20:34:43
Real-time Poultry Disease Identification using IoT
Internet of Things (IoT),Poultry,sick detection,sound analysis,image analysis
Abstract Pending
Arun Gnanaraj Alex / student
Gnana Jayanthi / Rajah Serfoji Govt. College,
Poultry Management is one major agriculture business.The big challenge in the poultry is to identify the disease in the early stage and avoid to spread the disease to another. Most of the casesneedan intense labor and training. We propose an embedded system that can monitor the poultry and distinguish the affected ones from the group. This will allow the users to detect the sick units earlier and leads a cost effective solution for poultry industry. The initial target of this paper is to develop an embedded IOT system connected with the server that can monitor the poultry farms. The second target is to present the current work that has been done on sound analysis for a group of hen for differencing the normal and sick units. The third target is to describe the future work that can be done to develop real-time IOT system.
Important Date
  • Conference Date

    Aug 13

    2018

    to

    Aug 14

    2018

  • Jan 31 2018

    Draft paper submission deadline

  • Apr 01 2018

    Draft Paper Acceptance Notification

  • Jun 30 2018

    Final Paper Deadline

  • Aug 14 2018

    Registration deadline

Sponsored By
IEEE
Organized By
Universiti Teknologi Petronas
Contact Information