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December 8, 2025AgriEngineeringOpen Access

Automated Detection of Kinky Back in Broiler Chickens Using Optimized Deep Learning Techniques

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Authors

RBRamesh Bahadur BistCPChaitanya Pallerla

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Overview

Machine learning detects spinal deformities in broiler chickens, suggesting enhanced welfare management.

Key Points

  • Develop an automated detection system for Kinky Back in broiler chickens based on image data.
  • Used overhead 4K video cameras to monitor Cobb 500 broilers over 7 weeks.
  • Collected and annotated behavioral and posture data related to Kinky Back from video images.
  • Compared various optimizers, image sizes, and data augmentation techniques with different YOLO models.
  • SGD achieved the highest precision of 100% and mAP of 74.7%.
  • Image size of 960 × 960 pixels provided the best balance of precision and recall.
  • Optimized YOLOv9 model achieved 99.1% precision and 100% recall, indicating high performance.

Cite This Study

Bist et al. (2025) studied this question.

synapsesocial.com/papers/693624ce4fa91c937236cdcdhttps://doi.org/10.3390/agriengineering7120415
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