Non-destructive geographical traceability of American ginseng using near-infrared spectroscopy combined with a novel deep learning model

Author:

Yang Yu,Wang Siqi,Zhu Qibing,Qin Yao,Zhai Dandan,Lian Feiyu,Li Peng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference35 articles.

1. Data augmentation of spectral data for convolutional neural network (CNN) based deep chemometrics;Bjerrum;J arXiv preprint arXiv,2017

2. American ginseng a genuine traditional Chinese medicine;Brinckmann;Med. Secoli,2018

3. Assessment of paprika geographical origin fraud by high-performance liquid chromatography with fluorescence detection (HPLC-FLD) fingerprinting;Campmajó;Food Chem.,2021

4. Improved 1D convolutional neural network adapted to near-infrared spectroscopy for rapid discrimination of Anoectochilus roxburghii and its counterfeits;Chai;J. Pharmachut. Biomed.,2021

5. Photoperiod and temperature as dominant environmental drivers triggering plant phenological development of American ginseng along with its quality formation;Chen;Front. Earth Sc-switz,2022

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