Feature Reduction for the Classification of Bruise Damage to Apple Fruit Using a Contactless FT-NIR Spectroscopy with Machine Learning

Spectroscopy data are useful for modelling biological systems such as predicting quality parameters of horticultural products. However, using the wide spectrum of wavelengths is not practical in a production setting. Such data are of high dimensional nature and they tend to result in complex models...

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Detalles Bibliográficos
Autores principales: Nturambirwe, Jean Frederic Isingizwe, Hussein, Eslam A., Vaccari, Mattia, Thron, Christopher, Perold, Willem Jacobus, Opara, Umezuruike Linus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818888/
https://www.ncbi.nlm.nih.gov/pubmed/36613425
http://dx.doi.org/10.3390/foods12010210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818888/
https://www.ncbi.nlm.nih.gov/pubmed/36613425
http://dx.doi.org/10.3390/foods12010210

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