首页|期刊导航|未来食品学报(英文)|Application of convolutional neural network in the production and processing of flower and fruit tea

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

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

College of Food Science,Fujian Agriculture and Forestry University,Fuzhou 350002,ChinaCangzhou Strategic Reserves and Grain Oils Quality Inspection Center,Cangzhou 061000,ChinaFood Science and Human Nutrition Department,University of Florida,Gainesville 32601,USADepartment of Oral Maxillofacial & Head and Neck Oncology,Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200011,ChinaSchool of Food Science and Technology,Jiangnan University,Wuxi 214122,ChinaJinshan College,Fujian Agriculture and Forestry University,Fuzhou 350002,ChinaCollege of Food Science,Fujian Agriculture and Forestry University,Fuzhou 350002,China

Machine learningIntelligent productionTea industryDeep learningResearch progress

Machine learningIntelligent productionTea industryDeep learningResearch progress

《未来食品学报(英文)》 2026 (6)

992-1003,12

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

10.1016/j.jfutfo.2025.06.003

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