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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
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 |