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Laser & Optoelectronics Progress, Volume. 56, Issue 13, 131102(2019)

Predicting Soil Available Phosphorus by Hyperspectral Regression Method Based on Gradient Boosting Decision Tree

Xiu Jin, Xianzhi Zhu, Shaowen Li*, Wencai Wang, and Haijun Qi
Author Affiliations
  • School of Information & Computer, Anhui Agricultural University, Hefei, Anhui 230036, China
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    Article index updated: Mar. 15, 2025

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    Xiu Jin, Xianzhi Zhu, Shaowen Li, Wencai Wang, Haijun Qi. Predicting Soil Available Phosphorus by Hyperspectral Regression Method Based on Gradient Boosting Decision Tree[J]. Laser & Optoelectronics Progress, 2019, 56(13): 131102

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    Paper Information

    Category: Imaging Systems

    Received: Jan. 4, 2019

    Accepted: Jan. 25, 2019

    Published Online: Jul. 11, 2019

    The Author Email: Li Shaowen (shwli@ahau.edu.cn)

    DOI:10.3788/LOP56.131102

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology