Comparing Machine Learning and PLSDA Algorithms for Durian Pulp Classification Using Inline NIR Spectra

The aim of this study was to evaluate and compare the performance of multivariate classification algorithms, specifically Partial Least Squares Discriminant Analysis (PLS-DA) and machine learning algorithms, in the classification of Monthong durian pulp based on its dry matter content (DMC) and solu...

Descripción completa

Detalles Bibliográficos
Autores principales: Pokhrel, Dharma Raj, Sirisomboon, Panmanas, Khurnpoon, Lampan, Posom, Jetsada, Saechua, Wanphut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256041/
https://www.ncbi.nlm.nih.gov/pubmed/37300054
http://dx.doi.org/10.3390/s23115327

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256041/
https://www.ncbi.nlm.nih.gov/pubmed/37300054
http://dx.doi.org/10.3390/s23115327

Ejemplares similares