Classifying grains using behaviour-informed machine learning

Sorting granular materials such as ores, coffee beans, cereals, gravels and pills is essential for applications in mineral processing, agriculture and waste recycling. Existing sorting methods are based on the detection of contrast in grain properties including size, colour, density and chemical com...

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Detalles Bibliográficos
Autores principales: Laudari, Sudip, Marks, Benjy, Rognon, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385656/
https://www.ncbi.nlm.nih.gov/pubmed/35978089
http://dx.doi.org/10.1038/s41598-022-18250-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385656/
https://www.ncbi.nlm.nih.gov/pubmed/35978089
http://dx.doi.org/10.1038/s41598-022-18250-4

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