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Updated: Sep 13, 2025

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研究一种高效的多类棉花叶病检测算法,利用YOLOv11进行检测

Fangyu Hu1,2, Mairheba Abula1,2, Di Wang1,2

  • 1College of Information Engineering, Tarim University, Alaer 843300, China.

Sensors (Basel, Switzerland)
|July 30, 2025
PubMed
概括

本研究介绍了ACURS-YOLO,这是一个用于检测棉花叶病的先进网络,提高了农业监测的准确性和效率. 这种新模式可以提升早期疾病识别,减少作物损失,并支持智能农业计划.

关键词:
在 U-Net v2 中使用.这就是YOLOv11的意义.棉花叶病检测检测检测棉花叶病检测

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