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May 3, 2021Plant MethodsOpen Access

Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods

Juanjuan Zhang Tao Cheng Wei Guo Xin Xu Hongbo Qiao Yimin Xie Xinming Ma

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Abstract

The Xgboost modeling method in combine with CARS_SPA algorithm can reduce input variables and improve the efficiency of model operation. The results provide reference and technical support for nondestructive and rapid estimation of winter wheat LAI by using UAV.

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Cite This Study

Zhang et al. (2021) studied this question.

synapsesocial.com/papers/69d7c9efec32c73b01ae29ee https://doi.org/10.1186/s13007-021-00750-5

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Combined Multi-Temporal Optical and Radar Parameters for Estimating LAI and Biomass in Winter Wheat Using HJ and RADARSAR-2 DataOriginal Research · 2015 · 158 citations
2Remote estimation of rice LAI based on Fourier spectrum texture from UAV imageOriginal Research · 2019 · 111 citations
3Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland EnvironmentsOriginal Research · 2011 · 320 citations
4Estimation of Wheat LAI at Middle to High Levels Using Unmanned Aerial Vehicle Narrowband Multispectral ImageryOriginal Research · 2017 · 144 citations
5Wheat Yellow Rust Detection Using UAV-Based Hyperspectral TechnologyOriginal Research · 2021 · 205 citations

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