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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Detalles Bibliográficos
Autores principales: Cruz, Albert C., Luvisi, Andrea, De Bellis, Luigi, Ampatzidis, Yiannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641424/
https://www.ncbi.nlm.nih.gov/pubmed/29067037
http://dx.doi.org/10.3389/fpls.2017.01741

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641424/
https://www.ncbi.nlm.nih.gov/pubmed/29067037
http://dx.doi.org/10.3389/fpls.2017.01741

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