Advances in infrared spectroscopy combined with artificial neural network for the authentication and traceability of food
Author:
Affiliation:
1. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
2. Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou, China
Funder
China National Key Research and Development Program
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,General Medicine,Food Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/10408398.2020.1862045
Reference146 articles.
1. Convolutional neural networks for vibrational spectroscopic data analysis
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4. A prototype measuring system of soil bulk density with combined frequency domain reflectometry and visible and near infrared spectroscopy
5. Detection of Red-Meat Adulteration by Deep Spectral–Spatial Features in Hyperspectral Images
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