Hydroponic lettuce defective leaves identification based on improved YOLOv5s

Hydroponic lettuce defective leaves identification based on improved YOLOv5s

Achieving intelligent detection of defective leaves of hydroponic lettuce after harvesting is of great significance for ensuring the quality and value of hydroponic lettuce. In order to improve the detection accuracy and efficiency of hydroponic lettuce defective leaves, firstly, an image acquisitio...

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Bibliographic Details
Main Authors:	Xin Jin, Haowei Jiao, Chao Zhang, Mingyong Li, Bo Zhao, Guowei Liu, Jiangtao Ji
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-10-01
Series:	Frontiers in Plant Science
Subjects:	defect detection EBG_YOLOv5 ECA BiFPN GSConv
Online Access:	https://www.frontiersin.org/articles/10.3389/fpls.2023.1242337/full

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