A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle

A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle

Unmanned aerial vehicle (UAV)-based remote sensing (RS) possesses the significant advantage of being able to efficiently collect images for precision agricultural applications. Although numerous methods have been proposed to monitor crop nitrogen (N) status in recent decades, just how to utilize an...

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Bibliographic Details
Main Authors: Hengbiao Zheng, Wei Li, Jiale Jiang, Yong Liu, Tao Cheng, Yongchao Tian, Yan Zhu, Weixing Cao, Yu Zhang, Xia Yao
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Remote Sensing
Subjects:
UAV
multispectral imagery
LNC
vegetation index
non-parametric regression
radiative transfer model
Online Access:https://www.mdpi.com/2072-4292/10/12/2026

Internet

https://www.mdpi.com/2072-4292/10/12/2026

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