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September 20, 2025AnimalsOpen Access

YOLOv8-DMC: Enabling Non-Contact 3D Cattle Body Measurement via Enhanced Keypoint Detection

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This model improves keypoint detection in 3D cattle measurement, suggesting efficient livestock management solutions.

The YOLOv8-DMC model enhances 3D cattle measurement accuracy, achieving an average precision of 0.931.
Real-world validation on 137 cattle images shows average relative measurement errors under 5% compared to manual methods.
Integrated attention modules enhance robustness in varied lighting conditions and occlusions, resulting in better depth completion.
The system's lightweight design allows deployment on edge devices, enabling practical applications in farming conditions.

Weng et al. (2025) studied this question.

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September 20, 2025AnimalsOpen Access

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Authors

This model improves keypoint detection in 3D cattle measurement, suggesting efficient livestock management solutions.

The YOLOv8-DMC model enhances 3D cattle measurement accuracy, achieving an average precision of 0.931.
Real-world validation on 137 cattle images shows average relative measurement errors under 5% compared to manual methods.
Integrated attention modules enhance robustness in varied lighting conditions and occlusions, resulting in better depth completion.
The system's lightweight design allows deployment on edge devices, enabling practical applications in farming conditions.

Weng et al. (2025) studied this question.

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