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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Veröffentlicht in:	Applied soft computing Jg. 151; S. 111113
Hauptverfasser:	Wang, Lihui, Xiao, Huidi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2024
Schlagworte:	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-Zugang:	Volltext
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