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Can I read Rapid discrimination of Anji Baicha origin using field-portable spectroradiometer on EtoBox?

Rapid discrimination of Anji Baicha origin using field-portable spectroradiometer by Jin, Ge (author);Gui, Xiang (author);Zhu, Yuanyuan (author);Zhan, Delong (author);Du, Xinjie (author);Du, Xing (author);Zhang, Xin (author);Zhou, Yan (author);Cui, Chuanjian (author);Zhuo, Chao (author);Wan, Xiaochun (author);Hou, Ruyan (author) is a Agricultural and Biological Sciences article available to read on EtoBox.

What is Rapid discrimination of Anji Baicha origin using field-portable spectroradiometer about?

Anji Baicha, named according to its origin, is one of the most expensive green teas available and is vulnerable to the risk of fraud. In this study, the discriminative power of spectroradiometer data and statistical techniques were analyzed using 267 Anji Baicha samples. Different spectral preprocessing techniques, five classification methods, and chemically driven wavelengths were compared and validated using ten-fold cross-validation. The results showed that the optimized SVM model relies on SNV and the 2nd derivative of Savitzky-Golay as preprocessing steps and has an average accuracy of 98.9% in distinguishing core and other production areas. Further distinguishing between the six production areas within Anji County and the seven production areas outside Anji County was also tested. The average accuracy rates were 72.1% and 82.5% within and outside the county, respectively. These findings point to the possibility of a spectroradiometer combined with chemometric approaches as a screening technique for Anji Baicha origin differentiation.

Who reads Rapid discrimination of Anji Baicha origin using field-portable spectroradiometer?

It is typically read by researchers, students, and practitioners in Agricultural and Biological Sciences.

Author
Jin, Ge (author);Gui, Xiang (author);Zhu, Yuanyuan (author);Zhan, Delong (author);Du, Xinjie (author);Du, Xing (author);Zhang, Xin (author);Zhou, Yan (author);Cui, Chuanjian (author);Zhuo, Chao (author);Wan, Xiaochun (author);Hou, Ruyan (author)
Publisher
Elsevier BV
Published
2023
Language
EN
Field
Agricultural and Biological Sciences (Life Sciences)

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