EventsThe 1st International Online Conference on Environments
Event submissions
Published
This submission belongs to the session S1. Environmental Assessment Methods and Management Technologies of the event The 1st International Online Conference on Environments
Published date
27 Feb, 2026
Academic Editor
author-avatarMilena Horvat
Citation
P. Barciela, A. Perez-Vazquez, M. Carpena, M. A. Prieto, Leveraging Machine Learning for Early Detection and Monitoring of <em>Xylella fastidiosa</em> in Olive Cultivation: Implications for Technological Diffusion, in Proceedings of The 1st International Online Conference on Environments, 2 March–4 March 2026, MDPI: Basel, Switzerland
Share
Email
FaceBook
Twitter
Linkedin

Leveraging Machine Learning for Early Detection and Monitoring of Xylella fastidiosa in Olive Cultivation: Implications for Technological Diffusion

image
P. Barciela 1
A. Perez-Vazquez 1
image
M. Carpena 1
image
M. A. Prieto 1
1. Instituto de Agroecoloxía e Alimentación (IAA), Universidade de Vigo, Nutrition and Food Group (NuFoG), Campus Auga, 32004 Ourense, Spain.
Abstract
Keywords
Xylella fastidiosa
Olive quick decline syndrome (OQDS)
Olive cultivation
Machine learning
Deep Learning
Poster
sciforum-162220_PB.pdf
sciforum-162220_PB.pdf