AIMC Topic: Tea

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Classification of Lu'an Gua Pian tea before and after Qingming Festival using HPLC-DAD analysis: a comparison of different data analysis strategies.

Analytical methods : advancing methods and applications May 15, 2025
Lu'an Gua Pian tea (LAGP) is a traditional Chinese historical tea and one of the top ten famous teas in China. The price of LAGP from the same place of origin varies greatly in the market depending on the harvest time, with the LAGP harvested before ...
Data Analysis China Least-Squares Analysis Discriminant Analysis Chromatography, High Pressure Liquid Tea Principal Component Analysis
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Deep Learning-Assisted Multiplexed Electrochemical Fingerprinting for Chinese Tea Identification.

Analytical chemistry Apr 10, 2025
Selectively differential identification of natural components with similar chemical structures in complex matrices is still a challenging task by conventional analytical strategies. Herein, we developed a landmark (DaXing airport)-inspired laser engr...
Electrodes Tea Electrochemical Techniques Deep Learning Polyphenols Neural Networks, Computer
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Assessing potential toxic metal threats in tea growing soils of India with soil health indices and machine learning technologies.

Environmental monitoring and assessment Mar 25, 2025
This study explores the impact of potentially toxic metals (PTMs) contamination in Indian tea-growing soils on ecosystems, soil quality, and human health using machine learning and statistical analysis. A total of 148 surface soil samples were collec...
Humans Machine Learning Soil Soil Pollutants India Environmental Monitoring Metals, Heavy Risk Assessment Tea Metals
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Estimating Tea Plant Physiological Parameters Using Unmanned Aerial Vehicle Imagery and Machine Learning Algorithms.

Sensors (Basel, Switzerland) Mar 21, 2025
Tea ( L.) holds agricultural economic value and forestry carbon sequestration potential, with Taiwan's annual tea production exceeding TWD 7 billion. However, climate change-induced stressors threaten tea plant growth, photosynthesis, yield, and qual...
Camellia sinensis Tea Remote Sensing Technology Taiwan Plant Leaves Photosynthesis Unmanned Aerial Devices Machine Learning Algorithms
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Improvement of near-infrared spectroscopic assessment methods for the quality of Keemun black tea: Utilizing transfer learning.

Food research international (Ottawa, Ont.) Mar 18, 2025
Keemun black tea, a renowned Chinese black tea, presents challenges in quality assessment due to variability in data across different years. To address this, we developed transfer learning algorithms using near-infrared spectral data. The qualitative...
Tea Quality Control Food Quality Machine Learning Algorithms Spectroscopy, Near-Infrared
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A review: Integration of NIRS and chemometric methods for tea quality control-principles, spectral preprocessing methods, machine learning algorithms, research progress, and future directions.

Food research international (Ottawa, Ont.) Feb 15, 2025
With the steady rise in tea production, the need for effective tea quality monitoring has become increasingly pressing. Traditional sensory evaluation and wet chemical detection methods are insufficient for real-time tea quality monitoring. As an eme...
Quality Control Chemometrics Plant Leaves Spectroscopy, Near-Infrared Tea Machine Learning
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A robust deep learning model for predicting green tea moisture content during fixation using near-infrared spectroscopy: Integration of multi-scale feature fusion and attention mechanisms.

Food research international (Ottawa, Ont.) Jan 30, 2025
Fixation is a critical step in green tea processing, and the moisture content of the leaves after fixation is a key indicator of the fixation quality. Near-infrared spectroscopy (NIRS)-based moisture detection technology is often applied in the tea p...
Temperature Deep Learning Spectroscopy, Near-Infrared Water Food Handling Tea Plant Leaves Least-Squares Analysis
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Machine learning unveils the role of biochar application in enhancing tea yield by mitigating soil acidification in tea plantations.

The Science of the total environment Jan 29, 2025
Biochar, a widely utilized soil amendment in environmental applications, has been employed to enhance tea cultivation. This study utilized three machine learning models to investigate the effects of biochar on tea growth and yield, with the random fo...
Charcoal Agriculture Machine Learning Camellia sinensis Tea Soil
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Determination of quality differences and origin tracing of green tea from different latitudes based on TG-FTIR and machine learning.

Food research international (Ottawa, Ont.) Jan 27, 2025
Latitude differences can significantly affect the quality of tea, while in-depth research in this field is lacking. This study investigates green teas from different latitudes in China using thermogravimetric analysis coupled with infrared spectrosco...
Camellia sinensis Tea Principal Component Analysis Spectroscopy, Fourier Transform Infrared Machine Learning Thermogravimetry Kinetics Cluster Analysis China Pyrolysis
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Machine learning-based classification and prediction of typical Chinese green tea taste profiles.

Food research international (Ottawa, Ont.) Jan 27, 2025
The taste of Chinese green tea is highly diverse. In this study, a combination of unsupervised and supervised learning methods was utilized to develop a model for classifying and predicting typical Chinese green tea taste. Three clustering methods we...
Metabolomics Tea Catechin Electronic Nose Taste Humans Spectroscopy, Near-Infrared Adult Machine Learning China Male Cluster Analysis
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