Comparison of detection results between YOLOv5s and P-YOLOv5s-GRNF.

Comparison of detection results between YOLOv5s and P-YOLOv5s-GRNF.

<p>Comparison of detection results between YOLOv5s and P-YOLOv5s-GRNF.</p>

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Bibliographic Details
Main Author:	Zhongjian Xie (4633099) (author)
Other Authors:	Yaya Zhang (11055897) (author), Weilin Wu (13736) (author), Yao Xiao (227567) (author), Xinwei Chen (255125) (author), Weiqi Chen (1806721) (author), ZhuXuan Wan (20435933) (author), Chunhua Lin (695793) (author)
Published:	2024
Subjects:	Ecology Plant Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified provide technical support mean average precision improved models construct experimental results showed eiou loss module 20 &# 215 160 &# 215 7 %, 19 rfaconv ), normalization based attention module 8 %, 3 3 %, 9 two stages detection 20 detection layer 160 detection layer 3 %, 3 8 %, 4 2 %, 0 achieve automated harvesting localization algorithm based grnf decreased parameters 60 %, parameters decreased detection algorithm nam ), intelligent harvesting coordinate attention localization algorithm flops decreased decreased flops xlink "> study proposes positioning system original model increased fps grnf increased depth camera
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