Chunwang Dong

发表

Black tea withering moisture detection method based on convolution neural network confidence

Ting An, Huanwei Yu, Chongshan Yang, 2020 .

Increased Soil Fertility in Tea Gardens Leads to Declines in Fungal Diversity and Complexity in Subsoils

Jianyu Fu, Xin Li, Chunwang Dong, 2022, Agronomy.

Moisture content monitoring in withering leaves during black tea processing based on electronic eye and near infrared spectroscopy

Ting An, Chongshan Yang, Jiayou Chen, 2022, Scientific Reports.

Research on moisture content detection method during green tea processing based on machine vision and near-infrared spectroscopy technology.

Chongshan Yang, Bin Hu, Chunwang Dong, 2022, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

Evaluation of aroma quality using multidimensional olfactory information during black tea fermentation

Shuxiang Fan, X. Tian, Ting An, 2022, Sensors and Actuators B: Chemical.

Response of Plant Root Growth to Biochar Amendment: A Meta-Analysis

Jianyu Fu, Xin Li, Chunwang Dong, 2021, Agronomy.

Using surface-enhanced Raman spectroscopy combined with chemometrics for black tea quality assessment during its fermentation process

Yu Tang, Lei Lin, M. Gouda, 2022, Sensors and Actuators B: Chemical.

Robustness and accuracy evaluation of moisture prediction model for black tea withering process using hyperspectral imaging.

Shuxiang Fan, X. Tian, Ting An, 2021, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

Hyperspectral imaging technology coupled with human sensory information to evaluate the fermentation degree of black tea

Chunjiang Zhao, Shuxiang Fan, X. Tian, 2022, Sensors and Actuators B: Chemical.

Nondestructive Testing and Visualization of Catechin Content in Black Tea Fermentation Using Hyperspectral Imaging

Yang Li, Chunwang Dong, Chongshan Yang, 2021, Sensors.

Research on the online rapid sensing method of moisture content in famous green tea spreading

Chongshan Yang, Bin Hu, Chunwang Dong, 2021, Journal of Food Process Engineering.

Quantitative prediction and visual detection of the moisture content of withering leaves in black tea (Camellia sinensis) with hyperspectral image

Shuxiang Fan, Ting An, Chongshan Yang, 2022, Infrared Physics & Technology.

Detection of volatile organic compounds in adulterated tea using Fourier transform infrared spectroscopy and Proton-transfer-reaction mass spectrometry.

Chongshan Yang, Chunwang Dong, Guanglin Li, 2023, Food chemistry.

Rapid detection of exogenous sucrose in black tea samples based on near-infrared spectroscopy

Ting An, Chongshan Yang, Bin Hu, 2021, Infrared Physics & Technology.

A lightweight tea bud detection model based on Yolov5

Chuanyu Wu, Chunwang Dong, Jianneng Chen, 2023, Comput. Electron. Agric..

A Tea Buds Counting Method Based on YOLOv5 and Kalman Filter Tracking Algorithm

Chunwang Dong, Rentian Zhang, Yang Li, 2023, Plant phenomics.

A tea bud segmentation, detection and picking point localization based on the MDY7-3PTB model

Chunwang Dong, Fengnong Chen, Shuang Xie, 2023, Frontiers in plant science.

Quantitative prediction and visualization of key physical and chemical components in black tea fermentation using hyperspectral imaging

Ting An, Chunwang Dong, Chongshan Yang, 2021, LWT.