A5025533395- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Tea Polyphenols and Effects
- Spectroscopy Techniques in Biomedical and Chemical Research
- Water Quality Monitoring and Analysis
- Identification and Quantification in Food
- Sensory Analysis and Statistical Methods
- Analytical Chemistry and Chromatography
- Smart Agriculture and AI
- Food Supply Chain Traceability
- Infrastructure Maintenance and Monitoring
- Edible Oils Quality and Analysis
- Advanced Image and Video Retrieval Techniques
- Plant Micronutrient Interactions and Effects
- Soil Carbon and Nitrogen Dynamics
- Phytochemicals and Antioxidant Activities
- Image and Signal Denoising Methods
- Postharvest Quality and Shelf Life Management
- Meat and Animal Product Quality
- Metabolomics and Mass Spectrometry Studies
- Robotics and Sensor-Based Localization
- Image Retrieval and Classification Techniques
- Climate change and permafrost
- Magnesium in Health and Disease
- Biochemical Analysis and Sensing Techniques
Fuzhou University
2024
Northwest A&F University
2020-2023
Huainan Normal University
2022-2023
Anhui Agricultural University
2012-2023
University of Science and Technology of China
2014
China Federation of Supply and Marketing Cooperatives
2012
Tea Research Institute
2012
The taste of tea is one the key indicators in evaluation its quality and a factor grading market pricing. To objectively digitally evaluate leaves, miniature near-infrared (NIR) spectroscopy electronic tongue (ET) sensors are considered effective sensor signals for characterization leaves. This study used micro-NIR ET combination with data fusion strategies chemometric tools assessment prediction multiple grades black tea. Using NIR features as fused information, optimization based on grey...
Grading represents an essential criterion for the quality assurance of black tea. The main objectives study were to develop a highly robust model Chinese tea seven grades based on cognitive spectroscopy.Cognitive spectroscopy was proposed combine near-infrared (NIRS) with machine learning and evolutionary algorithms, selected feature information from complex spectral data show best results without human intervention. NIRS measuring system used obtain spectra samples grades. acquired...
Abstract The evaluation of Chinese dianhong black tea (CDBT) grades was an important indicator to ensure its quality. A handheld spectroscopy system combined with chemometrics utilized assess CDBT from eight grades. Both variables selection methods, namely genetic algorithm (GA) and successive projections (SPA), were employed acquire the feature each sample spectrum. partial least‐squares discriminant analysis (PLS‐DA) support vector machine (SVM) algorithms applied for establishment grading...
Abstract BACKGROUND Preprocessing technologies of fresh tea leaves have a great influence on quality. A multifunctional preprocessing device for raw materials has been designed and utilized as novel item equipment to synchronously meet the process needs spreading green tea, withering black shaking oolong tea. RESULTS The parameters were optimized by orthogonal experiments. Sensory assessment combined with statistical tools was employed an analytical method evaluate pretreatment effect...
Abstract BACKGROUND Tea ( Camellia sinensis L) is a highly nutritious beverage with commercial value globally. However, it at risk of economic fraud. This study aims to develop powerful evaluation method distinguish Chinese official Dianhong tea from various other categories, employing hyperspectral imaging (HSI) technology and chemometric algorithms. RESULTS Two matrix statistical algorithms encompassing gray‐level co‐occurrence (GLCM) gradient (GLGCM) are used extract HSI texture data....
Summary Food fraud causes significant economic losses for the industry and generates distrust between consumers traders. Tea is one of most valued beverages throughout world, being vulnerable to economically motivated cheat. The objective study was develop potential hyperspectral imaging (HSI) allying multivariate analysis data fusion identify authenticity Keemun black tea quality categories. Data that integrated texture characteristics based on grey level co‐occurrence matrix visible...
Abstract Near-infrared spectroscopy and back propagation-artificial neural network (BP-ANN) model in conjunction with synergy interval partial least squares (siPLS) algorithm were used to evaluate tea shoots quality. The near-infrared spectra regions relevant quality (12493 cm−1 11645 cm−1, 9087.5 8242.7 8238.9 7394.2 6541.7 5697 cm−1) selected using siPLS algorithm. two principal components that explained 99.46% of the variability this spectral data then calibrate BP-ANN index (QI) model....
The appearance of tea leaves is the most intuitive factor in assessing their quality and an important indicator price. study utilizes machine vision hyperspectral image technology to develop a rapid method for seven grades Dianhong Congou black samples based on shape, color, texture, feature fusion. Using shape metrics length, width, perimeter, narrowness, area, rectangularity, 88 texture values, nine color values as features, effectiveness intelligent recognition algorithms such support...
In many existing image retrieval algorithms, Bag-of-Words (BoW) model has been widely adopted for representation. To achieve accurate indexing and efficient retrieval, local features such as the SIFT descriptor are extracted quantized to visual words. One of most popular quantization scheme is scalar quantization, which generates binary signature with an empirical threshold value. However, binarization strategy inevitably suffers from loss induced by each bit impairs effectiveness search...
In order to explore the effects of straw returning combined with fertilizer on soil nutrients and winter wheat yield in Guanzhong area, an experimental split plot design was utilized. The main consisted no (S0) (S). sub-regions (WF), nitrogen (NF), phosphate (NPF). Ecological stoichiometry used study relationship between carbon, nitrogen, phosphorus content, under conditions. results showed that fertilization interactions had significant organic total contents surface layer (0-20 cm)...