An Automated Image Processing Module for Quality Evaluation of Milled Rice

The paper demonstrates a low-cost rice quality assessment system based on image processing and machine learning (ML) algorithms. A Raspberry-Pi based image acquisition module was developed to extract the structural and geometric features from 3081 images of eight different varieties of rice grains....

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Detalles Bibliográficos
Autores principales: Kurade, Chinmay, Meenu, Maninder, Kalra, Sahil, Miglani, Ankur, Neelapu, Bala Chakravarthy, Yu, Yong, Ramaswamy, Hosahalli S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048426/
https://www.ncbi.nlm.nih.gov/pubmed/36981200
http://dx.doi.org/10.3390/foods12061273

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048426/
https://www.ncbi.nlm.nih.gov/pubmed/36981200
http://dx.doi.org/10.3390/foods12061273

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