Collaborative Wheat Lodging Segmentation Semi-Supervised Learning Model Based on RSE-BiSeNet Using UAV Imagery

Lodging is a common natural disaster during wheat growth. The accurate identification of wheat lodging is of great significance for early warnings and post-disaster assessment. With the widespread use of unmanned aerial vehicles (UAVs), large-scale wheat lodging monitoring has become very convenient...

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Bibliographic Details
Published in:	Agronomy
Main Authors:	Hongbo Zhi, Baohua Yang, Yue Zhu
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Subjects:	lodging segmentation UAV wheat semi-supervised learning
Online Access:	https://www.mdpi.com/2073-4395/13/11/2772

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