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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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Principais autores: Yuanyuan Fu, Guijun Yang, Zhenhai Li, Xiaoyu Song, Zhenhong Li, Xingang Xu, Pei Wang, Chunjiang Zhao
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2020-11-01
Serier:Remote Sensing
Fag:
unmanned aerial vehicle
winter wheat
nitrogen status indicators
color space models
Gabor-based textures
Gaussian processes regression
Online adgang:https://www.mdpi.com/2072-4292/12/22/3778
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