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Experimental outcomes illustrate that the improved YOLOv5m achieved 95.7% precision rate , 93.1% recall price, 94.38% F1 rating, and 96.4% Mean Average Precision (mAP). Meanwhile, the proposed design is considerably better than the original YOLOv3, YOLOv4, and YOLOv5m designs. The enhanced YOLOv5m model reveals higher robustness and effectiveness in detecting pests, also it could more correctly identify various bugs through the dataset.Zoraptera reveals severe uniformi
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