Tea Grade Detection Based on Hyperspectral Imaging Technology and Deep Convolutional Neural Networks
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Publisher
Elsevier BV
Reference32 articles.
1. Recent developments in vibrational spectroscopic techniques for tea quality and safety analyses;X Lin;Trends in Food Science & Technology,2020
2. Development of simple identification models for four main catechins and caffeine in fresh green tea leaf based on visible and near-infrared spectroscopy;Y Huang;Computers and electronics in agriculture,2020
3. Nondestructive monitoring of polyphenols and caffeine during green tea processing using vis-nir spectroscopy;A Sanaeifar;Food Science & Nutrition,2020
4. Support vector machine regression on selected wavelength regions for quantitative analysis of caffeine in tea leaves by near infrared spectroscopy;S Chanda;Journal of Chemometrics,2019
5. Prediction of amino acids, caffeine, theaflavins and water extract in black tea using ft-nir spectroscopy coupled chemometrics algorithms;M Zareef;Analytical Methods,2018
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