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

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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Bibliographic Details
Main Authors: Zhen-qi LIAO, Yu-long DAI, Han WANG, Quirine M. KETTERINGS, Jun-sheng LU, Fu-cang ZHANG, Zhi-jun LI, Jun-liang FAN
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Journal of Integrative Agriculture
Subjects:
UAV multispectral imagery
spectral features
texture features
canopy photosynthetic pigment content
canopy nitrogen content
Online Access:http://www.sciencedirect.com/science/article/pii/S2095311923000345

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http://www.sciencedirect.com/science/article/pii/S2095311923000345

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