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 computer vision combined with 1D-CNN was feasible for moisture prediction during Tencha drying process. This study provides technical support for the industrial and intelligent production of Tencha. This article is protected by copyright. All rights reserved.

Keyphrases

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