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    Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 13 >Page 131102 > Article
    • Laser & Optoelectronics Progress
    • Vol. 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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    DOI: 10.3788/LOP56.131102 Cite this Article Set citation alerts
    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 Copy Citation Text show less
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    Article index updated: Mar. 17, 2025
    The article is cited by 4 article(s) CLP online library. (Some content might be in Chinese.)
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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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