A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery

The accurate and rapid estimation of canopy nitrogen content (CNC) in crops is the key to optimizing in-season nitrogen fertilizer application in precision agriculture. However, the determination of CNC from field sampling data for leaf area index (LAI), canopy photosynthetic pigments (CPP; includin...

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Detaylı Bibliyografya
Asıl Yazarlar:	Zhen-qi LIAO, Yu-long DAI, Han WANG, Quirine M. KETTERINGS, Jun-sheng LU, Fu-cang ZHANG, Zhi-jun LI, Jun-liang FAN
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	KeAi Communications Co., Ltd. 2023-07-01
Seri Bilgileri:	Journal of Integrative Agriculture
Konular:	UAV multispectral imagery spectral features texture features canopy photosynthetic pigment content canopy nitrogen content
Online Erişim:	http://www.sciencedirect.com/science/article/pii/S2095311923000345
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

A double-layer model for improving the estimation of wheat canopy nitrogen content from unmanned aerial vehicle multispectral imagery

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