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Enhancing the Performance of Unmanned Aerial Vehicle-Based Estimation of Rape Chlorophyll Content by Reducing the Impact of Crop Coverage

Estimating leaf chlorophyll content (LCC) in a timely manner and accurately is of great significance for the precision management of rape. The spectral index derived from UAV images has been adopted as a non-destructive and efficient way to map LCC. However, soil background impairs the performance o...

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Principais autores: Yaxiao Niu, Longfei Xu, Yanni Zhang, Lizhang Xu, Qingzhen Zhu, Aichen Wang, Shenjin Huang, Liyuan Zhang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-10-01
coleção:Drones
Assuntos:
leaf chlorophyll content
UAV RGB images
model enhancement
spectral index
coverage influence
oilseed rape
Acesso em linha:https://www.mdpi.com/2504-446X/8/10/578
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