DenseNet weed recognition model combining local variance preprocessing and attention mechanism

DenseNet weed recognition model combining local variance preprocessing and attention mechanism

IntroductionThe purpose of this paper is to effectively and accurately identify weed species in crop fields in complex environments. There are many kinds of weeds in the detection area, which are densely distributed.MethodsThe paper proposes the use of local variance pre-processing method for backgr...

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Bibliographic Details
Main Authors: Ye Mu, Ruiwen Ni, Lili Fu, Tianye Luo, Ruilong Feng, Ji Li, Haohong Pan, Yingkai Wang, Yu Sun, He Gong, Ying Guo, Tianli Hu, Yu Bao, Shijun Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Plant Science
Subjects:
weed recognition
DenseNet
attention mechanism
image preprocessing
local variance
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.1041510/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2022.1041510/full

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