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SRC-YOLOv8n:用于检测细粒果叶病的轻量级框架,可保存空间细节并增强多层次的特征

Hanzhi Cui1, Chuanlei Song1, Conghan Zhong1

  • 1College of Computer Engineering, Qingdao City University, Qingdao, China.

Frontiers in plant science
|March 4, 2026
PubMed
概括

一个新的轻量级框架,SRC-YOLOv8n,通过保留空间细节和改进多尺度特征来增强果叶病的检测. 这提高了准确性,同时降低了农业监测的计算成本.

关键词:
检测果叶病的检测方法一个跨层次的注意力.轻量级神经网络是一种轻量级的神经网络.多级特征聚变的多级特征聚变植物病理学 植物病理学

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