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Application of convolutional neural network in the production and processing of flower and fruit tea

Xiaoyu Xie Qin Wang Zhen Jia Yilan Sun Chao Qiu Qian Ning Jie Pang

未来食品学报（英文）2026，Vol.6Issue(6)：992-1003,12.

未来食品学报（英文）2026，Vol.6Issue(6)：992-1003,12.DOI:10.1016/j.jfutfo.2025.06.003

Application of convolutional neural network in the production and processing of flower and fruit tea

Xiaoyu Xie ¹Qin Wang ²Zhen Jia ³Yilan Sun ⁴Chao Qiu ⁵Qian Ning ⁶Jie Pang¹

作者信息

1. College of Food Science,Fujian Agriculture and Forestry University,Fuzhou 350002,China
2. Cangzhou Strategic Reserves and Grain Oils Quality Inspection Center,Cangzhou 061000,China
3. Food Science and Human Nutrition Department,University of Florida,Gainesville 32601,USA
4. Department of Oral Maxillofacial & Head and Neck Oncology,Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200011,China
5. School of Food Science and Technology,Jiangnan University,Wuxi 214122,China
6. Jinshan College,Fujian Agriculture and Forestry University,Fuzhou 350002,China
折叠

摘要

关键词

Machine learning/Intelligent production/Tea industry/Deep learning/Research progress

Key words

Machine learning/Intelligent production/Tea industry/Deep learning/Research progress

引用本文复制引用

Xiaoyu Xie,Qin Wang,Zhen Jia,Yilan Sun,Chao Qiu,Qian Ning,Jie Pang..Application of convolutional neural network in the production and processing of flower and fruit tea[J].未来食品学报（英文）,2026,6(6):992-1003,12.

基金项目

This work was financially supported by the National Key Research and Development Program of China(2022YFD2101102)and Fujian Provincial Natural Science Foundation Project(2024J01407). （2022YFD2101102）

未来食品学报（英文）

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