Semi-supervised Learning for Weed and Crop Segmentation Using UAV Imagery

Semi-supervised Learning for Weed and Crop Segmentation Using UAV Imagery

Weed control has received great attention due to its significant influence on crop yield and food production. Accurate mapping of crop and weed is a prerequisite for the development of an automatic weed management system. In this paper, we propose a weed and crop segmentation method, SemiWeedNet, to...

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Bibliographic Details
Main Authors:	Chunshi Nong, Xijian Fan, Junling Wang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-07-01
Series:	Frontiers in Plant Science
Subjects:	weed mapping semantic segmentation semi-supervised learning precision agriculture crop recognition
Online Access:	https://www.frontiersin.org/articles/10.3389/fpls.2022.927368/full

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