Deep Learning Technologies for Monitoring Poultry Wellbeing in the USA
编号:3 访问权限:仅限参会人 更新:2025-04-26 16:47:33 浏览:19次 特邀报告

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摘要

The United States is currently the world’s largest producer of broiler chickens (9-10 billion chickens) and the second-largest producer of eggs (110 billion table eggs annually). Poultry production contributes $60 billion in farm gate value each year. However, there are ongoing concerns regarding animal welfare, particularly with fast-growing broiler chickens and the increasing use of cage-free housing for laying hens. Approximately 30% of fast-growing broilers experience leg problems and 50% or higher birds have footpad lesion. For egg production, cage-free hens face doubled mortality and injury rates compared to conventional caged systems. Therefore, precision farming technologies are needed to address those issues for sustainable production. To address these challenges, artificial intelligence (AI) technologies such as machine vision and robotics were innovated for monitoring poultry health and welfare in this study. The performance of those deep technologies has reached 90% or higher in monitoring footpad dermatitis, bumble foot, and mortality, etc. In addition, large foundation models such as SAM (Segment Anything Model) and TAM (Track Anything Model) were tested efficient in individual poultry tracking and locomotion speed monitoring. 
 
关键词
Poultry production; animal welfare; machine vision; robots.
报告人
Lilong Chai
Associate Professor University of Georgia

稿件作者
Lilong Chai University of Georgia
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重要日期
  • 会议日期

    10月20日

    2025

    10月23日

    2025

  • 04月15日 2025

    摘要截稿日期

  • 05月01日 2025

    摘要录用通知日期

  • 06月30日 2025

    初稿截稿日期

  • 08月01日 2025

    终稿截稿日期

  • 08月31日 2025

    初稿录用通知日期

  • 10月23日 2025

    注册截止日期

主办单位
International Research Center for Animal Environment and Welfare (IRCAEW)
Chinese Society of Agricultural Engineering (CSAE)
China Agricultural University (CAU)
Rongchang District People’s Government
The National Center of Technology Innovation for Pigs
承办单位
Chongqing Academy of Animal Sciences (CAAS)
Key Lab of Agricultural Engineering in Structure and Environment, Chinese Ministry of Agriculture, Beijing, China
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