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

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 radiation wer...

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Detalles Bibliográficos
Autores principales:	Chen, Cheng, Zhang, Wuyi, Shan, Zhiguo, Zhang, Chunhua, Dong, Tianwu, Feng, Zhouqiang, Wang, Chengkang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2022
Materias:	Original Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007301/ https://www.ncbi.nlm.nih.gov/pubmed/35432968 http://dx.doi.org/10.1002/fsn3.2699

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