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Updated: Jan 29, 2026

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研究基于深度学习的野外杂草目标检测算法

Ziyang Chen1,2, Le Wu1, Zhenhong Jia2,3

  • 1Xinjiang Space-Air-Ground Integrated Intelligent Computing Technology Laboratory, Changji 831100, China.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
概括

这项研究介绍了SSS-YOLO,这是一种用于智能农业的新型深度学习算法,提高了对封闭或重叠植物的杂草检测精度. 新方法显著提高了对现有算法的性能.

关键词:
这是一个YOLO YOLO.深度学习是一种深度学习.对象检测检测对象检测对象检测封闭性封闭是什么?它们是重叠的.杂草 杂草是一种杂草.

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