X-FIDO: An Effective Application for Detecting Olive Quick Decline Syndrome with Deep Learning and Data Fusion

X-FIDO: An Effective Application for Detecting Olive Quick Decline Syndrome with Deep Learning and Data Fusion

We have developed a vision-based program to detect symptoms of Olive Quick Decline Syndrome (OQDS) on leaves of Olea europaea L. infected by Xylella fastidiosa, named X-FIDO (Xylella FastIdiosa Detector for O. europaea L.). Previous work predicted disease from leaf images with deep learning but requ...

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Bibliographic Details
Main Authors: Albert C. Cruz, Andrea Luvisi, Luigi De Bellis, Yiannis Ampatzidis
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-10-01
Series:Frontiers in Plant Science
Subjects:
convolutional neural networks
deep learning
machine vision
transfer learning
Olea europaea
Xylella fastidiosa
Online Access:http://journal.frontiersin.org/article/10.3389/fpls.2017.01741/full

Internet

http://journal.frontiersin.org/article/10.3389/fpls.2017.01741/full

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