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预测牛产牛时间的建模,通过使用姿势分析来强调异常和正常情况.

May Phyu Khin1, Pyke Tin1, Yoichiro Horii2

  • 1Graduate School of Engineering, University of Miyazaki, Miyazaki, 889-2192, Japan.

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自动牛犊预测使用姿势分析来识别正常和异常出生. "坐着伸出腿"的姿势是分娩并发症的关键指标,改善了动物福利.

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牛犊产的时间姿势分析 姿势分析

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科学领域:

  • 精准畜牧业 精准畜牧业 精准畜牧业 精准畜牧业
  • 动物科学动物科学
  • 计算机视觉在农业中的应用

背景情况:

  • 准确的分娩时间预测对于母亲和小牛的健康至关重要.
  • 异常分娩往往需要人类干预,以防止死亡.
  • 目前的方法可能缺乏早期检测并发症所需的精度.

研究的目的:

  • 开发一种自动化系统,使用姿势分析来预测正常和异常的牛犊.
  • 为了识别特定的姿势,表明分娩事件和潜在的并发症.
  • 加强牛分娩的及时干预和降低风险的策略.

主要方法:

  • 使用计算机视觉技术,包括Mask R-CNN (Detectron2) 和YOLOv8-pose.
  • 分析了牛的姿势变化和特定的关键姿势 (坐着,站着,食,坐着伸出腿,抬起尾巴).
  • 专注于分娩前30分钟,1小时和2小时内的姿势序列,以区分分娩模式.

主要成果:

  • "坐着伸出腿"的姿势被确定为异常分娩事件的关键指标.
  • 该系统在预测正常和异常分娩时间框架方面表现出高精度.
  • 姿势序列分析有效地区分了正常和异常的分娩模式.

结论:

  • 自动姿势分析提供了一种新的方法,可以准确地预测牛的分娩.
  • 该系统能够提前警告产并发症,促进主动管理.
  • 这项研究促进了精密畜牧业的发展,改善了动物福利,并减少了与分娩相关的风险.