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    Developing an optimal individual tree diameter growth model for uneven-aged Pinus yunnanensis forests using machine learning algorithms by Deng, Longfeng, Wang, JianMing, Yin, JiTing, Guan, YaDong

    ISSN: 0931-1890, 1432-2285
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2025
    Published in Trees (Berlin, West) (01.08.2025)
    “…The objective of this study was to develop more accurate predictions of the diameter growth of Pinus yunnanensis and to analyze the impact of various factors…”
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