A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning-Reference-Cited by-同舟云学术

A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning

Published:2021-04 Issue: Volume:35 Page:106809
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Alessandrini M.,Calero Fuentes Rivera R.,Falaschetti L.,Pau D.,Tomaselli V.,Turchetti C.

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference12 articles.

1. Grapevine trunk diseases: complex and still poorly understood;Bertsch;Plant Pathol.,2013

2. Esca (black measles) and brown wood-streaking: two old and elusive diseases of grapevines;Mugnai;Plant Dis.,1999

3. New insights into esca of grapevine: the development of foliar symptoms and their association with xylem discoloration;Lecomte;Plant Dis.,2012

4. Grapevine trunk diseases: a review of fifteen years of trials for their control with chemicals and biocontrol agents;Mondello;Plant Dis.,2018

5. New solutions for the automatic early detection of diseases in vineyards through ground sensing approaches integrating lidarand optical sensors;Gallo;Chemical Engineering Transactions,2017

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