• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Conference on Computational Science and Engineering;IEEE/IFIP International Conference on Embedded and Ubiquitous Computing >Research and Application of Cow Estrus Detection Based on the Internet of Things
【24h】

Research and Application of Cow Estrus Detection Based on the Internet of Things

机译：基于物联网的牛发情检测研究与应用

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A total of 269 Holstein cows were selected to test estrus using the independent "Jing M" detection system. For estrus cows detected by the system an experienced veterinarian checked them again by using rectum checks; after this the positive and accuracy rates of the system were evaluated. Finally the consistency of the detection system with rectum checking was analyzed using the Kappa value (obtained from Kappa statistics using PROC FREQ in SAS). The results obtained were that the positive and accuracy rates of the detection system were 87.77% and 91.86% respectively; the Kappa value was 0.848, showing that the detection system's results were consistent with rectum checking. Thus the independent estrus detection system can be used to detect whether a cow is estrus or not.
机译：使用独立的“ Jing M”检测系统，总共选择了269头荷斯坦奶牛来测试发情期。对于由系统检测到的发情母牛，有经验的兽医会使用直肠检查再次检查它们。之后，对系统的肯定率和准确率进行了评估。最后，使用Kappa值（使用SAS中的PROC FREQ从Kappa统计数据获得）分析了具有直肠检查的检测系统的一致性。结果表明，该检测系统的阳性率和准确率分别为87.77％和91.86％。 Kappa值为0.848，表明检测系统的结果与直肠检查一致。因此，独立发情检测系统可用于检测母牛是否为发情期。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号