Non-destructive estimation of needle leaf chlorophyll and water contents in Chinese fir seedlings based on hyperspectral reflectance spectra

Non-destructive estimation of needle leaf chlorophyll and water contents in Chinese fir seedlings based on hyperspectral reflectance spectra

Chinese fir is the most important native softwood tree in China and has significant economic and ecological value. Accurate assessment of the growth status is critical for both seedling cultivation and germplasm evaluation of this commercially significant tree. Needle leaf chlorophyll content (LCC)...

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Bibliographic Details
Main Authors: Dong Xing, Penghui Sun, Yulin Wang, Mei Jiang, Siyu Miao, Wei Liu, Huahong Huang, Erpei Lin
Format: Article
Language:English
Published: Maximum Academic Press 2024-01-01
Series:Forestry Research
Subjects:
cunninghamia lanceolata
hyperspectral imaging
machine learning
needle leaf chlorophyll content
needle leaf water content
Online Access:https://www.maxapress.com/article/doi/10.48130/forres-0024-0021

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https://www.maxapress.com/article/doi/10.48130/forres-0024-0021

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