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PKD-YOLOv8:軽量ラップシード害虫検知のための協調的な剪定と知識蒸留フレームワーク

Haifeng Yu1, Qingting Luo1, Wei Peng1

  • 1College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

この研究は,ラップシード害虫を検出するための軽量なAIモデルを導入し,高精度を維持しながら,サイズと計算の必要性を大幅に削減します. 最適化されたモデルは,作物の保護に役立つ,エッジデバイスの優れたリアルタイムパフォーマンスを示しています.

キーワード:
YOLOv8 について知識の蒸留モデルの剪定油菜の害虫検出

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