Moisture contents and product quality prediction of Pu‐erh tea in sun‐drying process with image information and environmental parameters

Moisture contents and product quality prediction of Pu‐erh tea in sun‐drying process with image information and environmental parameters

Abstract In this study, moisture contents and product quality of Pu‐erh tea were predicted with deep learning‐based methods. Images were captured continuously in the sun‐drying process. Environmental parameters (EP) of air humidity, air temperature, global radiation, wind speed, and ultraviolet radi...

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Bibliographic Details
Main Authors: Cheng Chen, Wuyi Zhang, Zhiguo Shan, Chunhua Zhang, Tianwu Dong, Zhouqiang Feng, Chengkang Wang
Format: Article
Language:English
Published: Wiley 2022-04-01
Series:Food Science & Nutrition
Subjects:
deep learning
moisture content prediction
Pu‐erh tea
sensory quality evaluation
sun drying
Online Access:https://doi.org/10.1002/fsn3.2699

Internet

https://doi.org/10.1002/fsn3.2699

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