A nondestructive method for determination of green tea quality by hyperspectral imaging-Reference-Cited by-同舟云学术

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A nondestructive method for determination of green tea quality by hyperspectral imaging

Published:2023-10 Issue: Volume:123 Page:105621
ISSN:0889-1575
Container-title:Journal of Food Composition and Analysis
language:en
Short-container-title:Journal of Food Composition and Analysis

Author:

Tang Yu,Wang Fan^ORCID,Zhao Xiaoqing,Yang Guijun,Xu Bo,Zhang Ying,Xu Ze,Yang Haibin,Yan Lei,Li Long

Publisher

Elsevier BV

Subject

Food Science

Reference42 articles.

1. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra;Barnes;Appl. Spectrosc.,2016

2. Topical application of green and white tea extracts provides protection from solar-simulated ultraviolet light in human skin;Camouse;Exp. Dermatol.,2009

3. Application of multispectral camera in monitoring the quality parameters of fresh tea leaves;Chen;Remote Sens.,2021

4. Aggregation of sensory data using fuzzy logic for sensory quality evaluation of food;Debjani;J. Food Sci. Technol.,2013

5. Classification of tea quality levels using near-infrared spectroscopy based on CLPSO-SVM;Ding;Foods,2022

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2. Monitoring quality changes in green tea during storage: A hyperspectral imaging method;Food Chemistry: X;2024-10

3. Hyperspectral Image Analysis and Machine Learning Techniques for Crop Disease Detection and Identification: A Review;Sustainability;2024-07-16

4. Enhancing classification rate of electronic nose system and piecewise feature extraction method to classify black tea with superior quality;Scientific African;2024-06

5. Estimation for soluble solid content in Hetian jujube using hyperspectral imaging with fused spectral and textural Features;Journal of Food Composition and Analysis;2024-04

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