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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Vydáno v:	Applied soft computing Ročník 151; s. 111113
Hlavní autoři:	Wang, Lihui, Xiao, Huidi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.01.2024
Témata:	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
On-line přístup:	Získat plný text
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