Winter Wheat Nitrogen Status Estimation Using UAV-Based RGB Imagery and Gaussian Processes Regression

Predicting the crop nitrogen (N) nutrition status is critical for optimizing nitrogen fertilizer application. The present study examined the ability of multiple image features derived from unmanned aerial vehicle (UAV) RGB images for winter wheat N status estimation across multiple critical growth s...

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Detalhes bibliográficos

Principais autores:	Yuanyuan Fu, Guijun Yang, Zhenhai Li, Xiaoyu Song, Zhenhong Li, Xingang Xu, Pei Wang, Chunjiang Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-11-01
coleção:	Remote Sensing
Assuntos:	unmanned aerial vehicle winter wheat nitrogen status indicators color space models Gabor-based textures Gaussian processes regression
Acesso em linha:	https://www.mdpi.com/2072-4292/12/22/3778
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