Jiang et al., 2023 - Google Patents
Rapid nondestructive detecting of wheat varieties and mixing ratio by combining hyperspectral imaging and ensemble learningJiang et al., 2023
- Document ID
- 10373156656499217876
- Author
- Jiang X
- Bu Y
- Han L
- Tian J
- Hu X
- Zhang X
- Huang D
- Luo H
- Publication year
- Publication venue
- Food Control
External Links
Snippet
Wheat is the main raw material for brewing Chinese liquor, and differences in the wheat varieties and mixing ratio will affect its quality and flavor. In this study, hyperspectral imaging (HSI) was combined with ensemble learning models for the classification and determination …
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- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
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- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light using near infra-red light
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- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
- G01N21/3577—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light for analysing liquids, e.g. polluted water
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- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
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