September 10, 2025SensorsOpen Access

Enhancing Instance Segmentation in Agriculture: An Optimized YOLOv8 Solution

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Proposed model improves detection precision and recall in agricultural scenes, indicating enhanced feature extraction.

The improved YOLOv8n-seg model enhances precision and recall by 1.4% and 4.0% in detecting small targets.
With the CPCA mechanism, our model adapts attention weights across channels, improving feature extraction in varied spatial scales.
Experimental results show 3.0% gain in mAP@0.5 and 3.5% in mAP@0.5:0.95 metrics compared to prior models.
This development may facilitate advancements in intelligent precision operation technology in agriculture.

Wang et al. (2025) studied this question.

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