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Rapid prediction of Yongchuan Xiuya tea quality by using near infrared spectroscopy coupled with chemometric methods

Overview of attention for article published in Food Science and Technology, January 2023
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1 X user

Citations

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Title
Rapid prediction of Yongchuan Xiuya tea quality by using near infrared spectroscopy coupled with chemometric methods
Published in
Food Science and Technology, January 2023
DOI 10.1590/fst.101122
Authors

Ying ZHANG, Jie WANG, Hongyu LUO, Juan YANG, Xiuhong WU, Quan WU, Yingfu ZHONG

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 60%
Unknown 2 40%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 40%
Psychology 1 20%
Unknown 2 40%