The dawn of intelligent technologies in tea industry

Y Wei, Y Wen, X Huang, P Ma, L Wang, Y Pan… - Trends in Food Science …, 2024 - Elsevier
Background Tea is a globally significant agricultural product, renowned for its economic and
cultural value. The process of tea cultivation and production involves tea plantation …

Emerging technologies based on artificial intelligence to assess the quality and consumer preference of beverages

C Gonzalez Viejo, DD Torrico, FR Dunshea, S Fuentes - Beverages, 2019 - mdpi.com
Beverages is a broad and important category within the food industry, which is comprised of
a wide range of sub-categories and types of drinks with different levels of complexity for their …

Rapid and real-time detection of black tea fermentation quality by using an inexpensive data fusion system

G Jin, Y Wang, M Li, T Li, W Huang, L Li, WW Deng… - Food Chemistry, 2021 - Elsevier
Intelligent identification of black tea fermentation quality is becoming a bottleneck to
industrial automation. This study presents at-line rapid detection of black tea fermentation …

Green preparation, safety control and intelligent processing of high-quality tea extract

Y Wei, Y Pang, P Ma, S Miao, J Xu, K Wei… - Critical reviews in …, 2024 - Taylor & Francis
Tea contains a variety of bioactive components, including catechins, amino acids, tea
pigments, caffeine and tea polysaccharides, which exhibit multiple biological activities …

Intelligent evaluation of black tea fermentation degree by FT-NIR and computer vision based on data fusion strategy

G Jin, Y Wang, L Li, S Shen, WW Deng, Z Zhang… - Lwt, 2020 - Elsevier
Fermentation is the most crucial step in black tea processing. In this study, we used a
combination of Fourier transform near-infrared spectroscopy (FT-NIR) and computer vision …

茶叶生物化学研究进展

宛晓春, 李大祥, 张正竹, 夏涛, 凌铁军, 陈琪 - 茶叶科学, 2019 - tea-science.com
茶叶生物化学是研究茶树生命化学的科学, 主要在生物化学与分子水平上探讨茶树特别是新梢中
特征性次级代谢产物的合成途径, 结构与功能, 以及在茶叶加工及贮藏过程中的转化规律 …

A local binary pattern based texture descriptors for classification of tea leaves

Z Tang, Y Su, MJ Er, F Qi, L Zhang, J Zhou - Neurocomputing, 2015 - Elsevier
For tea processing production lines, different fresh tea leaves require different processing
parameters for the control systems of tea machines. Hence, an effective algorithm for …

Monitoring black tea fermentation quality by intelligent sensors: Comparison of image, e-nose and data fusion

Q Zhou, Z Dai, F Song, Z Li, C Song, C Ling - Food Bioscience, 2023 - Elsevier
To scientifically and objectively monitor the fermentation quality of black tea, a computer
vision system (CVS) and electronic nose (e-nose) were employed to analyze the black tea …

Recent developments of green analytical techniques in analysis of tea's quality and nutrition

Q Chen, D Zhang, W Pan, Q Ouyang, H Li… - Trends in Food Science …, 2015 - Elsevier
Highlights•Conventional analytical methods to tea quality and nutrition are
reviewed.•Applications of green analytical tools to tea quality and nutrition are …

Tea category identification using a novel fractional Fourier entropy and Jaya algorithm

Y Zhang, X Yang, C Cattani, RV Rao, S Wang… - Entropy, 2016 - mdpi.com
This work proposes a tea-category identification (TCI) system, which can automatically
determine tea category from images captured by a 3 charge-coupled device (CCD) digital …