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food chemistry(1)

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black tea(1)
chemical index(1)
green tea(1)
modelling, artificial intelligence algorithm(1)
tea sensory quality(1)

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作者

Lu L. AND Wang L. AND Liu R. AND Zhang Y. AND Zheng X. AND Lu J. AND Wang X. AND Ye J.(0)

机构

key laboratory of biology, genetics and breeding of special economic animals and plants, ministry of agricul(1)
key laboratory of biology, genetics and breeding of special economic animals and plants, ministry of agriculture and rural affairs, national center for tea plant improvement, tea research institute, chinese academy of agricultural sciences, hangzhou, 310008, china(1)
zhejiang university tea research institute, 866 yuhangtang road, hangzhou, 310058, china(1)

年份

2024(1)

科研产出

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资源类型: 外文期刊

作者:Lu L.(精确检索)

作者:Wang L.(精确检索)

作者:Liu R.(精确检索)

作者:Zhang Y.(精确检索)

作者:Zheng X.(精确检索)

作者:Lu J.(精确检索)

作者:Wang X.(精确检索)

作者:Ye J.(精确检索)

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1An efficient artificial intelligence algorithm for predicting the sensory quality of green and black teas based on the key chemical indices

作者： Lu L.; Wang L.; Liu R.; Zhang Y.; Zheng X.; Lu J.; Wang X.; Ye J.; SCIE（2024版） EI（2024版）

机构： Zhejiang University Tea Research Institute, 866 Yuhangtang Road, Hangzhou, 310058, China; Key Laboratory of Biology, Genetics and Breeding of Special Economic Animals and Plants, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008, China; Key Laboratory of Biology, Genetics and Breeding of Special Economic Animals and Plants, Ministry of Agricul;

来源：Food Chemistry

关键词： Black tea Chemical index Green tea Modelling, artificial intelligence algorithm Tea sensory quality