A review of machine learning for near-infrared spectroscopy

W Zhang, LC Kasun, QJ Wang, Y Zheng, Z Lin - Sensors, 2022 - mdpi.com
The analysis of infrared spectroscopy of substances is a non-invasive measurement
technique that can be used in analytics. Although the main objective of this study is to …

Spectral data fusion in nondestructive detection of food products: Strategies, recent applications, and future perspectives

M Guo, K Wang, H Lin, L Wang… - … Reviews in Food …, 2024 - Wiley Online Library
In recent years, the food industry has shown a growing interest in the development of rapid
and nondestructive analytical methods. However, the utilization of a solitary nondestructive …

Monitoring chlorophyll changes during Tencha processing using portable near-infrared spectroscopy

L Liu, M Zareef, Z Wang, H Li, Q Chen, Q Ouyang - Food Chemistry, 2023 - Elsevier
Monitoring chlorophyll during Tencha (the raw ingredient for matcha) processing is critical
for determining the matcha's color and quality. The purpose of this study is to explore the …

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

Z Liu, R Zhang, C Yang, B Hu, X Luo, Y Li… - Spectrochimica Acta Part …, 2022 - Elsevier
Moisture content is an important indicator that affects green tea processing. In this study,
taking Chuyeqi tea as the research object, a quantitative prediction model of the changes in …

Rapid identification of the green tea geographical origin and processing month based on near-infrared hyperspectral imaging combined with chemometrics

Y Liu, J Huang, M Li, Y Chen, Q Cui, C Lu… - … Acta Part A: Molecular …, 2022 - Elsevier
The geographical origin and processing month of green tea greatly affect its economic value
and consumer acceptance. This study investigated the feasibility of combining near-infrared …

Sensor-based technologies in effective solid waste sorting: successful applications, sensor combination, and future directions

Y Zhao, J Li - Environmental Science & Technology, 2022 - ACS Publications
The increase in global population and improvement of living standards have stirred up a
continuous increase in solid waste generation, while simple incineration and landfilling …

Monitoring black tea fermentation quality by intelligent sensors: Comparison of image, e-nose and data fusion

Q Zhou, Z Dai, F Song, Z Li, C Song, C Ling - Food Bioscience, 2023 - Elsevier
To scientifically and objectively monitor the fermentation quality of black tea, a computer
vision system (CVS) and electronic nose (e-nose) were employed to analyze the black tea …

A multimode structured prediction model based on dynamic attribution graph attention network for complex industrial processes

B Sun, M Lv, C Zhou, Y Li - Information Sciences, 2023 - Elsevier
Complex industrial processes with dynamic and time-varying characteristics, as well as
diverse operating conditions, pose challenges in developing accurate real-time online …

Data fusion strategy for rapid prediction of moisture content during drying of black tea based on micro-NIR spectroscopy and machine vision

X Sheng, J Zan, Y Jiang, S Shen, L Li, H Yuan - Optik, 2023 - Elsevier
Drying is an important process in black tea processing, meanwhile, the moisture content is
an important factor in determining the drying quality. However, at present, there is a lack of …

Discrimination of tea plant variety using in-situ multispectral imaging system and multi-feature analysis

Q Cao, G Yang, F Wang, L Chen, B Xu, C Zhao… - … and Electronics in …, 2022 - Elsevier
Discrimination of tea plant (Camellia sinensis L.) varieties is of significant value for the
efficient management of cultivation and resources optimization of tea industry. Phenotypic …