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Pomegranate seed clustering by machine vision

Application of new procedures for reliable and fast recognition and classification of seeds in the agricultural industry is very important. Recent advances in computer image analysis made applicable the approach of automated quantitative analysis in order to group cultivars according to minor differ...

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Detalles Bibliográficos
Autores principales: Amiryousefi, Mohammad Reza, Mohebbi, Mohebbat, Tehranifar, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5778205/
https://www.ncbi.nlm.nih.gov/pubmed/29387357
http://dx.doi.org/10.1002/fsn3.475