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Predictive modeling of cattle calving time emphasizing abnormal and normal cases by using posture analysis.

May Phyu Khin1, Pyke Tin1, Yoichiro Horii2

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

Scientific Reports
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Automated cattle calving prediction uses posture analysis to identify normal and abnormal births. The "sitting with leg extended" posture is a key indicator of calving complications, improving animal welfare.

Keywords:
Cattle calvingPosture analysis

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Area of Science:

  • Precision Livestock Farming
  • Animal Science
  • Computer Vision in Agriculture

Background:

  • Accurate calving time prediction is vital for maternal and calf well-being.
  • Abnormal calving often requires human intervention to prevent mortality.
  • Current methods may lack the precision needed for early detection of complications.

Purpose of the Study:

  • To develop an automated system for predicting normal and abnormal cattle calving using posture analysis.
  • To identify specific postures indicative of calving events and potential complications.
  • To enhance timely intervention and risk mitigation strategies in cattle parturition.

Main Methods:

  • Utilized computer vision techniques, including Mask R-CNN (Detectron2) and YOLOv8-pose.
  • Analyzed cattle posture changes and specific key postures (sitting, standing, feeding, sitting with extended legs, tail-raised).
  • Focused on posture sequences within 30 min, 1 h, and 2 h pre-calving to differentiate calving patterns.

Main Results:

  • The "sitting with leg extended" posture was identified as a critical indicator for abnormal calving events.
  • The system demonstrated high precision in predicting both normal and abnormal calving timeframes.
  • Posture sequence analysis effectively differentiated between normal and abnormal calving patterns.

Conclusions:

  • Automated posture analysis offers a novel approach to accurate calving prediction in cattle.
  • The system enables early warnings for calving complications, facilitating proactive management.
  • This research advances precision livestock farming, improving animal welfare and reducing calving-related risks.