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Updated: May 9, 2026

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YOLOv8-RMDA:轻量级的YOLOv8网络用于早期检测茶叶中的小目标疾病

Rong Ye1,2, Guoqi Shao2, Yun He3

  • 1College of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China.

Sensors (Basel, Switzerland)
|May 11, 2024
PubMed
概括

一个改进的YOLOv8模型准确地检测早期茶叶疾病,如病和斑点,达到93.04%的准确性. 这种方法增强了特征提取和小病变识别,以实时监测疾病.

关键词:
这就是AKConvv.这就是YOLOv8的意义.动态头部 动态头部在内部-EIoUU.茶叶斑点检测 茶叶斑点检测

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