A grid-level segmentation model based on encoder-decoder structure with multi-source features for crop lodging detection

Crop lodging assessment plays a critical role in acquiring accurate information regarding the location and area of lodging, which is essential for loss assessment and adjustments of harvester parameters. In this paper, we proposed LDVO (Lodging Detection with Visible-image Only), a comprehensive gri...

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Bibliographic Details

Published in:	Applied soft computing Vol. 151; p. 111113
Main Authors:	Wang, Lihui, Xiao, Huidi
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2024
Subjects:	Crop lodging Deep learning Precision agriculture Texture information Unmanned aerial vehicle Deep learning Precision agriculture Texture information Unmanned aerial vehicle Crop lodging
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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