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

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scholarly article by M Alessandrini et al published April 2021 in Data in Brief

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття (uk) article scientifique publié en 2021 (fr) scholarly article by M Alessandrini et al published April 2021 in Data in Brief (en)
publication date	wds:Q108126732-7B64A56A-F39A-45F9-92E6-7380EF3560FC
publication date	2021-04-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q108126732-0777E22D-EB66-4925-B0FB-D9AEAE0C58E1
language of work or name	English
cites work	wds:Q108126732-17904EF7-9977-4349-883A-2DD5828DF70C wds:Q108126732-3D7C68E6-0CA1-4F13-A8CF-5125E8284CF5 wds:Q108126732-64497763-4B41-4C6E-9A78-3241E308CFFF wds:Q108126732-B3EBBE02-3157-4B3A-96FE-FB2F754A68B0 wds:Q108126732-C98FEF46-770D-4251-9490-997CE608877D wds:Q108126732-EA47032D-5AF9-4E62-9856-9E2EB52903EB
cites work	A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition Grapevine Trunk Diseases: A Review of Fifteen Years of Trials for Their Control with Chemicals and Biocontrol Agents Grapevine trunk diseases: complex and still poorly understood Esca (Black Measles) and Brown Wood-Streaking: Two Old and Elusive Diseases of Grapevines Learning to detect the onset of slow activity after a generalized tonic-clonic seizure New Insights into Esca of Grapevine: The Development of Foliar Symptoms and Their Association with Xylem Discoloration
author name string	wds:Q108126732-08E539B4-F02D-4262-B27A-5F91BB0170D3 wds:Q108126732-19136D04-5AEE-4C86-B4DA-374DBCF2A37F wds:Q108126732-1AAA0B37-62FF-4A82-B0C2-1105B1458445 wds:Q108126732-461A368B-E575-4E0F-98E9-9B28C0753AF8 wds:Q108126732-983EF991-1B34-4D00-BB8C-BEDB5E2C4E0B wds:Q108126732-DD4332FB-8277-4360-805B-01275E944A55
author name string	M Alessandrini V Tomaselli C Turchetti D Pau L Falaschetti R Calero Fuentes Rivera
rdfs:label	A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning (en) A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning (nl)
skos:prefLabel	A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning (en) A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning (nl)
name	A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning (en) A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning (nl)
title	wds:Q108126732-1C393845-E6BD-47C7-8DDA-C7FF241FBA5C
title	A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning (en)
page(s)	wds:Q108126732-E84F643A-F95F-43B4-9566-69CD74AF7DBE
page(s)	106809
instance of	wds:Q108126732-AB6A92BE-099B-40F8-8BDB-3A194A885EB8
instance of	scholarly article
main subject	wds:Q108126732-6B95AC59-9BA9-433F-B4F9-7D2692CE23D8 wds:Q108126732-C57CE8E8-D5A6-4515-A67E-680928F320CD
main subject	machine learning image classification
PubMed ID	wds:Q108126732-4B49B974-E0C6-4431-8AC9-811160B7E596
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/33614872
PubMed ID	33614872
published in	wds:Q108126732-A5187EF9-7FEA-4B3F-93AA-7E5D86876A2B
published in	Data in Brief
volume	wds:Q108126732-3AA6300B-94A0-403F-95DF-7345E59887E4
volume	35
DOI	wds:Q108126732-73A0411A-0FCF-4D72-85AC-ACB585B56B44
DOI	http://dx.doi.org/10.1016/J.DIB.2021.106809
DOI	10.1016/J.DIB.2021.106809
describes a project that uses	wds:Q108126732-26F19BE1-CCFA-4CA4-BB9B-223167ECCCBB
describes a project that uses	machine learning
PMCID	wds:Q108126732-BB5288EB-4196-432A-98A6-0C0C43A62D64
PMCID	7881216
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q108126732

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