An Effective Prediction Approach for Moisture Content of Tea Leaves Based on Discrete Wavelet Transforms and Bootstrap Soft Shrinkage Algorithm

An Effective Prediction Approach for Moisture Content of Tea Leaves Based on Discrete Wavelet Transforms and Bootstrap Soft Shrinkage Algorithm

The traditional method used to determine the moisture content of tea leaves is time consuming and destructive. To address this problem, an effective and non-destructive prediction method based on near-infrared spectroscopy (NIRS) is proposed in this paper. This new method combines discrete wavelet t...

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Bibliographic Details
Main Authors: Min Zhang, Jiaming Guo, Chengying Ma, Guangjun Qiu, Junjie Ren, Fanguo Zeng, Enli Lü
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
near-infrared
moisture content
discrete wavelet transforms
bootstrap soft shrinkage algorithm
partial least squares
Online Access:https://www.mdpi.com/2076-3417/10/14/4839

Internet

https://www.mdpi.com/2076-3417/10/14/4839

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