A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis

Convolutional neural network (CNN) models have the potential to improve plant disease phenotyping where the standard approach is visual diagnostics requiring specialized training. In scenarios where a CNN is deployed on mobile devices, models are presented with new challenges due to lighting and ori...

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Detalles Bibliográficos
Autores principales: Ramcharan, Amanda, McCloskey, Peter, Baranowski, Kelsee, Mbilinyi, Neema, Mrisho, Latifa, Ndalahwa, Mathias, Legg, James, Hughes, David P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436463/
https://www.ncbi.nlm.nih.gov/pubmed/30949185
http://dx.doi.org/10.3389/fpls.2019.00272

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6436463/
https://www.ncbi.nlm.nih.gov/pubmed/30949185
http://dx.doi.org/10.3389/fpls.2019.00272

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