Hyperspectral estimation of chlorophyll density in winter wheat using fractional-order derivative combined with machine learning

Hyperspectral estimation of chlorophyll density in winter wheat using fractional-order derivative combined with machine learning

Chlorophyll density (ChD) can reflect the photosynthetic capacity of the winter wheat population, therefore achieving real-time non-destructive monitoring of ChD in winter wheat is of great significance for evaluating the growth status of winter wheat. Derivative preprocessing has a wide range of ap...

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Bibliographic Details
Main Authors: Chenbo Yang, Meichen Feng, Juan Bai, Hui Sun, Rutian Bi, Lifang Song, Chao Wang, Yu Zhao, Wude Yang, Lujie Xiao, Meijun Zhang, Xiaoyan Song
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Plant Science
Subjects:
hyperspectral
chlorophyll density
fractional-order derivative
competitive adaptive reweighted sampling
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1492059/full
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https://www.frontiersin.org/articles/10.3389/fpls.2024.1492059/full

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