Rapid Detection of Fraudulent Rice Using Low-Cost Digital Sensing Devices and Machine Learning

Rice fraud is one of the common threats to the rice industry. Conventional methods to detect rice adulteration are costly, time-consuming, and tedious. This study proposes the quantitative prediction of rice adulteration levels measured through the packaging using a handheld near-infrared (NIR) spec...

Descripción completa

Detalles Bibliográficos
Autores principales: Aznan, Aimi, Gonzalez Viejo, Claudia, Pang, Alexis, Fuentes, Sigfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697730/
https://www.ncbi.nlm.nih.gov/pubmed/36433249
http://dx.doi.org/10.3390/s22228655

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697730/
https://www.ncbi.nlm.nih.gov/pubmed/36433249
http://dx.doi.org/10.3390/s22228655

Ejemplares similares