ArticleScientific reports2018
Prediction of Moisture Content for Congou Black Tea Withering Leaves Using Image Features and Nonlinear Method.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- A Model for Identifying the Fermentation Degree of Tieguanyin Oolong Tea Based on RGB Image and Hyperspectral Data.Foods (Basel, Switzerland) · 2026Article
- Evaluation of Withering Quality of Black Tea Based on Multi-Information Fusion Strategy.Foods (Basel, Switzerland) · 2025Article
- Predicting the Degree of Fresh Tea Leaves Withering Using Image Classification Confidence.Foods (Basel, Switzerland) · 2025Article
- Rapid detection of sunset yellow adulteration in tea powder with variable selection coupled to machine learning tools using spectral data.Journal of food science and technology · 2023Article
- Identification of Key Components Responsible for the Aromatic Quality of Jinmudan Black Tea by Means of Molecular Sensory Science.Foods (Basel, Switzerland) · 2023Article
- Visual Detection of Water Content Range of Seabuckthorn Fruit Based on Transfer Deep Learning.Foods (Basel, Switzerland) · 2023Article
- Research on Rapid and Low-Cost Spectral Device for the Estimation of the Quality Attributes of Tea Tree Leaves.Sensors (Basel, Switzerland) · 2023Article
- Moisture content monitoring in withering leaves during black tea processing based on electronic eye and near infrared spectroscopy.Scientific reports · 2022Article
- A Rapid Prediction Method of Moisture Content for Green Tea Fixation Based on WOA-Elman.Foods (Basel, Switzerland) · 2022Article
- Prediction of Tea Polyphenols, Free Amino Acids and Caffeine Content in Tea Leaves during Wilting and Fermentation Using Hyperspectral Imaging.Foods (Basel, Switzerland) · 2022Article
- Moisture contents and product quality prediction of Pu-erh tea in sun-drying process with image information and environmental parameters.Food science & nutrition · 2022Article
- Delivery of acetamiprid to tea leaves enabled by porous silica nanoparticles: efficiency, distribution and metabolism of acetamiprid in tea plants.BMC plant biology · 2021Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 content of withered leaves. First, according to the time sequences using computer visual system collected visible light images of tea leaf surfaces, and color and texture characteristics are extracted through the spatial changes of colors. Then quantitative prediction models for moisture content detection of withered tea leaves was established through linear PLS (Partial Least Squares) and non-linear SVM (Support Vector Machine). The results showed correlation coefficients higher than 0.8 between the water contents and green component mean value (G), lightness component mean value (L
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