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

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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Bibliographic Details
Main Authors: Yuanyuan Fu, Guijun Yang, Zhenhai Li, Xiaoyu Song, Zhenhong Li, Xingang Xu, Pei Wang, Chunjiang Zhao
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Remote Sensing
Subjects:
unmanned aerial vehicle
winter wheat
nitrogen status indicators
color space models
Gabor-based textures
Gaussian processes regression
Online Access:https://www.mdpi.com/2072-4292/12/22/3778

Internet

https://www.mdpi.com/2072-4292/12/22/3778

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