Rapid detection of quality index of postharvest fresh tea leaves using hyperspectral imaging.

Yu-Jie Wang Lu-Qing LiShan-Shan ShenYing LiuJing-Ming Ning Zheng-Zhu Zhang

Published in: Journal of the science of food and agriculture (2020)

The results suggested that the hyperspectral imaging technique coupled with chemometrics was a promising tool for the rapid and nondestructive measurement of tea-leaf quality, and had the potential to develop multispectral imaging systems for future online detection of tea-leaf quality. © 2020 Society of Chemical Industry.

Keyphrases

high resolution
fluorescence imaging
quality improvement
loop mediated isothermal amplification
social media
risk assessment
current status
climate change