Improving the maize crop row navigation line recognition method of YOLOX

Improving the maize crop row navigation line recognition method of YOLOX

The accurate identification of maize crop row navigation lines is crucial for the navigation of intelligent weeding machinery, yet it faces significant challenges due to lighting variations and complex environments. This study proposes an optimized version of the YOLOX-Tiny single-stage detection ne...

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Bibliographic Details
Main Authors: Hailiang Gong, Weidong Zhuang, Xi Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Plant Science
Subjects:
navigation lines
maize inter-row weeding
attention mechanisms
YOLOX-Tiny
loss function
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1338228/full

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