A CNN-based image detector for plant leaf diseases classification

A CNN-based image detector for plant leaf diseases classification

Identifying diseases from images of plant leaves is one of the most important research areas in precision agriculture. The aim of this paper is to propose an image detector embedding a resource constrained convolutional neural network (CNN) implemented in a low cost, low power platform, named OpenMV...

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Bibliographic Details
Main Authors: Laura Falaschetti, Lorenzo Manoni, Denis Di Leo, Danilo Pau, Valeria Tomaselli, Claudio Turchetti
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:HardwareX
Subjects:
Image detector
Esca disease
convolutional neural network
embedded systems
plant diseases recognition
Online Access:http://www.sciencedirect.com/science/article/pii/S2468067222001080

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http://www.sciencedirect.com/science/article/pii/S2468067222001080

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