Inverting Chlorophyll Content in Jujube Leaves Using a Back-Propagation Neural Network–Random Forest–Ridge Regression Algorithm with Combined Hyperspectral Data and Image Color Channels

Inverting Chlorophyll Content in Jujube Leaves Using a Back-Propagation Neural Network–Random Forest–Ridge Regression Algorithm with Combined Hyperspectral Data and Image Color Channels

Chlorophyll content is highly susceptible to environmental changes, and monitoring these changes can be a crucial tool for optimizing crop management and providing a foundation for research in plant physiology and ecology. This is expected to deepen our scientific understanding of plant ecological a...

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Bibliographic Details
Main Authors: Jingming Wu, Tiecheng Bai, Xu Li
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Agronomy
Subjects:
jujube leaf
soil and plant analyzer development (SPAD)
hyperspectral data
color channel
BPNN-RF-Ridge Regression
non-destructive testing
Online Access:https://www.mdpi.com/2073-4395/14/1/140

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https://www.mdpi.com/2073-4395/14/1/140

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