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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Bibliographic Details
Main Authors: Amanda Ramcharan, Peter McCloskey, Kelsee Baranowski, Neema Mbilinyi, Latifa Mrisho, Mathias Ndalahwa, James Legg, David P. Hughes
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-03-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2019.00272/full