Spectroscopic techniques, electrochemical methods, nanozymes, computer vision, and
modified chromatographic techniques are the emerging techniques for determining the …

Famous tea industry which need to harvest tea buds has great economic benefits. However,
the harvesting is time-consuming and labor-intensive, especially with the shortage of labor …

This research demonstrates a rapid detection method of jointly using electronic nose (E-
nose) and computer vision system (CVS) to detect tea aroma and tea appearance for tea …

For tea processing production lines, different fresh tea leaves require different processing
parameters for the control systems of tea machines. Hence, an effective algorithm for …

The world's high-value crop is tea, its aspect plays a powerful role in its marketability. Tea is
the utmost extensively absorb aromatic beverage with the legion of health benefit and …

1. Key Laboratory of Tea Science of Ministry of Education, Changsha 410125, China; 2.
National Research Center of Engineering and Technology for Utilization of Botanical …

For practitioners, it is very crucial to realize accurate and automatic vision-based quality
identification of Longjing tea. Due to the high similarity between classes, the classification …

Keemun black tea is classified into 7 grades according to the difference in its quality. The
appearance and flavour are crucial indicators of its quality. This research demonstrates a …

The development of the smartphone and computer vision technique provides customers with
a convenient approach to identify tea species, as well as qualities. However, the prediction …

Fixing, shaping, and drying are three major processing procedures after green tea's harvest.
Among them, fixing is the first and key step for the formation of green tea's specific …