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
摘要待审
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.
重要日期
  • 会议日期

    08月13日

    2018

    08月14日

    2018

  • 01月31日 2018

    初稿截稿日期

  • 04月01日 2018

    初稿录用通知日期

  • 06月30日 2018

    终稿截稿日期

  • 08月14日 2018

    注册截止日期

主办单位
IEEE
承办单位
Universiti Teknologi Petronas
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