Estimation of Nitrogen Status in Zanthoxylum armatum var. novemfolius Using Machine Learning Algorithms and UAV Hyperspectral and LiDAR Data Fusion

), outperforming MLR, PLSR, and SVR. This synergistic framework provides a high-precision, non-destructive methodology for the precision N monitoring of woody crops.

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Publication Details

Journal
Plants
Published
2026-04-06
DOI
https://doi.org/10.3390/plants15071119
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
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article

Estimation of Nitrogen Status in Zanthoxylum armatum var. novemfolius Using Machine Learning Algorithms and UAV Hyperspectral and LiDAR Data Fusion

Shangyuan Zhao, Yong Sze Wei, Shuai Wang, Jinkun Zhao et al.
Plants
Remote Sensing in Agriculture
article

Estimation of Nitrogen Status in Zanthoxylum armatum var. novemfolius Using Machine Learning Algorithms and UAV Hyperspectral and LiDAR Data Fusion

Shangyuan Zhao, Yong Sze Wei, Shuai Wang, Jinkun Zhao, Xin Ye, Xiaojun Shi, Jie Wang
article en

Abstract

), outperforming MLR, PLSR, and SVR. This synergistic framework provides a high-precision, non-destructive methodology for the precision N monitoring of woody crops.

PlantsVol. 15(7)
Southwest University (CN), Changchun Observatory (CN), Chongqing Academy of Agricultural Sciences (CN)
Life in Land
Openalex Percentile: Top 26%
Remote Sensing in Agriculture
DOIOpen Access PDFOpenAlex
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