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Updated: May 27, 2025

Fruit Volatile Analysis Using an Electronic Nose
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Fruit Volatile Analysis Using an Electronic Nose

Published on: March 30, 2012

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基于改进的YOLOv8的新的新成熟度识别算法.

Fuqin Deng1, Zhenghong He1, Lanhui Fu1

  • 1School of Electronic and Information Engineering, the Wuyi University, Jiangmen, China.

Frontiers in plant science
|February 21, 2025
PubMed
概括

这项研究使用改进的YOLOv8模型增强了果成熟度检测,实现了自动收获的更高准确性和效率. 新方法提高了精度和回忆力,减少了果园中的水果浪费.

关键词:
卡拉菲轻量级操作员这是一个幽灵ConvConv.新 (XinHui) 类植物这就是YOLOv8的意义.期限检测检测到期日检测到期日检测到期多维协作注意力机制 (MCA)对象检测检测对象检测对象检测

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