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Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins

机译：可见/红外光谱和高光谱成像在机器学习技术中识别食品品种和地理起源的应用

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Lei Feng; Baohua Wu; Susu Zhu; Yong He; Chu Zhang;
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3. Rapid and Nondestructive Discrimination of Geographical Origins of Longjing Tea using Hyperspectral Imaging at Two Spectral Ranges Coupled with Machine Learning Methods [J] . Zhiqi Hong, Yong He Applied Sciences . 2020,第3期

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4. DETECTING FOOD FRAUD: DETERMINATION OF A POTATO'S VARIETY AND ITS GEOGRAPHICAL ORIGIN IN ONE ANALYSIS VIA UPLC-IMS-QTOF [C] . Christin Claassen, Juergen Kuballa, Sascha Rohn International Mass Spectrometry Conference . 2018

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5. Integrating visible, near infrared and short wave infrared hyperspectral and multispectral thermal imagery for geological mapping at Cuprite, Nevada. [D] . Chen, Xianfeng. 2005

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6. Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins [O] . Lei Feng, Baohua Wu, Susu Zhu, 2021

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7. Application of Near-Infrared Hyperspectral Imaging with Machine Learning Methods to Identify Geographical Origins of Dry Narrow-Leaved Oleaster (Elaeagnus angustifolia) Fruits [O] . Pan Gao, Wei Xu, Tianying Yan, 2019

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8. Synegies Between Visible/Near-Infrared Imaging Spectrometry and the Thermal Infrared in an Urban Environment: An Evaluation of the Hyperspectral Infrared Imager (HYSPIRI) Mission. [R] . Roberts, D. A., Quattrochi, D. A., Hulley, G. C., 2012

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Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins

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