Prediction and visualization of moisture content in Tencha drying processes by computer vision and deep learning.

Jie YouDengshan LiZhen WangQuansheng Chen Qin Ouyang

Published in: Journal of the science of food and agriculture (2024)

The results indicated that computer vision combined with 1D-CNN was feasible for moisture prediction during the Tencha drying process. This study provides technical support for the industrial and intelligent production of Tencha. © 2024 Society of Chemical Industry.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
wastewater treatment
heavy metals