AIMC Topic: Camellia sinensis

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Identification of Similar Chinese Congou Black Teas Using an Electronic Tongue Combined with Pattern Recognition.

Molecules (Basel, Switzerland) Dec 12, 2019
It is very difficult for humans to distinguish between two kinds of black tea obtained with similar processing technology. In this paper, an electronic tongue was used to discriminate samples of seven different grades of two types of Chinese Congou b...
Support Vector Machine Camellia sinensis Tea Humans Neural Networks, Computer Electronic Nose
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Development of super-atmospheric oxidation chamber for orthodox tea processing and its validation through neural network approach.

Journal of the science of food and agriculture Mar 12, 2019
BACKGROUND: Orthodox tea is known for its distinct aroma and superior quality. However, the oxidation step that is most crucial for developing these attributes needs precise control and is also time consuming. In the present study, a super-atmospheri...
Oxidation-Reduction Color Catechin Plant Leaves Camellia sinensis Tea Biflavonoids Neural Networks, Computer Polyphenols
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Prediction of Moisture Content for Congou Black Tea Withering Leaves Using Image Features and Nonlinear Method.

Scientific reports May 18, 2018
Withering is the first step in the processing of congou black tea. With respect to the deficiency of traditional water content detection methods, a machine vision based NDT (Non Destructive Testing) method was established to detect the moisture conte...
Camellia sinensis Tea Least-Squares Analysis Color Water Support Vector Machine Plant Leaves
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Preservative effect of Camellia sinensis (L.) Kuntze seed extract in soy sauce and its mutagenicity.

Food research international (Ottawa, Ont.) Nov 23, 2017
The purpose of this study was to investigate the applicability of green tea seed (GTS) extract as a natural preservative in food. Food preservative ability and mutagenicity studies of GTS extract and identification of antimicrobial compounds from GTS...
Microbial Sensitivity Tests Soy Foods Food Microbiology Oleanolic Acid Camellia sinensis Zygosaccharomyces Seeds Antifungal Agents Plant Extracts Salmonella typhimurium Saponins Escherichia coli Food Preservatives Candida albicans Food Preservation Mutagenicity Tests
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Investigating the antifungal activity and mechanism of a microbial pesticide Shenqinmycin against Phoma sp.

Pesticide biochemistry and physiology Aug 30, 2017
Tea white scab (TWS) is a major disease affecting tea trees in mid-elevation regions and often occurs during rainy seasons with low temperatures. This disease is caused by the fungal pathogen Phoma sp. TWS can infect young stems, tender leaves, and t...
Ascomycota Gene Expression Regulation, Fungal Genes, Fungal Phenazines Plant Structures Up-Regulation Homeostasis Mycelium Plant Diseases Fungal Proteins Down-Regulation RNA, Messenger Culture Media Chromatography, Liquid Microbial Sensitivity Tests Tandem Mass Spectrometry Camellia sinensis Nanotechnology Oxidation-Reduction Energy Metabolism Antifungal Agents
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Deep learning-assisted self-cleaning cellulose colorimetric sensor array for monitoring black tea withering dynamics.

Food chemistry Sep 30, 2025
The withering process is a critical stage in developing the aroma profile of black tea. In this study, we presented an eco-friendly cellulose film-based colorimetric sensor array (CSA) for detecting volatile organic compounds (VOCs) and assessing wit...
Deep Learning Colorimetry Titanium Odorants Volatile Organic Compounds Cellulose Camellia sinensis Tea
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Towards precision agriculture tea leaf disease detection using CNNs and image processing.

Scientific reports May 21, 2025
In this study, we introduce a groundbreaking deep learning (DL) model designed for the precise task of classifying common diseases in tea leaves, leveraging advanced image analysis techniques. Our model is distinguished by its complex multi-layer arc...
Camellia sinensis Tea Plant Diseases Image Processing, Computer-Assisted Agriculture Plant Leaves Neural Networks, Computer Deep Learning
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Lightweight wavelet-CNN tea leaf disease detection.

PloS one Jan 1, 2025
Tea diseases can significantly impact crop yield and quality, necessitating accurate and efficient recognition methods. This study presents WaveLiteNet, a lightweight model designed for tea disease recognition, addressing the challenge of inadequate ...
Wavelet Analysis Camellia sinensis Tea Plant Diseases Neural Networks, Computer Algorithms Plant Leaves
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Investigation of the biochemical and apoptotic changes in breast cancer cells treated with leaf extract from tea (Camellia sinensis L.) grown with added boric acid.

Pakistan journal of pharmaceutical sciences Sep 1, 2020
Tea obtained from the leaves of Camellia sinensis L., a medicinal plant, is a widely popular beverage. Deficiency in boron, a micronutrient for C. sinensis, affects the growth as well as the quality of tea. The aim of this study was to explore whethe...
MCF-7 Cells Antineoplastic Agents, Phytogenic Boric Acids Plant Extracts Humans Plant Leaves Camellia sinensis Cell Proliferation Female Apoptosis Breast Neoplasms Oxidative Stress Antioxidants
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