Cargando…
Visible and Near-Infrared Spectroscopy Combined With Bayes Classifier Based on Wavelength Model Optimization Applied to Wine Multibrand Identification
The identification of high-quality wine brands can avoid adulteration and fraud and protect the rights and interests of producers and consumers. Since the main components of wine are roughly the same, the characteristic components that can distinguish wine brands are usually trace amounts and not un...
Autores principales: | Pan, Tao, Li, Jiaqi, Fu, Chunli, Chang, Nailiang, Chen, Jiemei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344138/ https://www.ncbi.nlm.nih.gov/pubmed/35928849 http://dx.doi.org/10.3389/fnut.2022.796463 |
Ejemplares similares
-
Establishment of online deep learning model for insect-affected pests in “Yali” pears based on visible-near-infrared spectroscopy
por: Hao, Yong, et al.
Publicado: (2022) -
Research on construction method and validity mechanism of robust analysis model in snow peach quality detection based on visible-near infrared spectroscopy
por: Hao, Yong, et al.
Publicado: (2022) -
Exploring the feasibility of wavelength modulated near-infrared spectroscopy
por: Hebden, Jeremy C.
Publicado: (2020) -
Optically Graded Ultra Dark Absorber for Visible and Near-infrared Wavelength Range
por: Agnihotri, Prabhat K., et al.
Publicado: (2018) -
Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins
por: Feng, Lei, et al.
Publicado: (2021)