Cargando…

An expertized grapevine disease image database including five grape varieties focused on Flavescence dorée and its confounding diseases, biotic and abiotic stresses

The grapevine is vulnerable to diseases, deficiencies, and pests, leading to significant yield losses. Current disease controls involve monitoring and spraying phytosanitary products at the vineyard block scale. However, automatic detection of disease symptoms could reduce the use of these products...

Descripción completa

Detalles Bibliográficos
Autores principales: Tardif, Malo, Amri, Ahmed, Deshayes, Aymeric, Greven, Marc, Keresztes, Barna, Fontaine, Gaël, Sicaud, Laetitia, Paulhac, Laetitia, Bentejac, Sophie, Da Costa, Jean-Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294005/
https://www.ncbi.nlm.nih.gov/pubmed/37383825
http://dx.doi.org/10.1016/j.dib.2023.109230
_version_ 1785063106682028032
author Tardif, Malo
Amri, Ahmed
Deshayes, Aymeric
Greven, Marc
Keresztes, Barna
Fontaine, Gaël
Sicaud, Laetitia
Paulhac, Laetitia
Bentejac, Sophie
Da Costa, Jean-Pierre
author_facet Tardif, Malo
Amri, Ahmed
Deshayes, Aymeric
Greven, Marc
Keresztes, Barna
Fontaine, Gaël
Sicaud, Laetitia
Paulhac, Laetitia
Bentejac, Sophie
Da Costa, Jean-Pierre
author_sort Tardif, Malo
collection PubMed
description The grapevine is vulnerable to diseases, deficiencies, and pests, leading to significant yield losses. Current disease controls involve monitoring and spraying phytosanitary products at the vineyard block scale. However, automatic detection of disease symptoms could reduce the use of these products and treat diseases before they spread. Flavescence dorée (FD), a highly infectious disease that causes significant yield losses, is only diagnosed by identifying symptoms on three grapevine organs: leaf, shoot, and bunch. Its diagnosis is carried out by scouting experts, as many other diseases and stresses, either biotic or abiotic, imply similar symptoms (but not all at the same time). These experts need a decision support tool to improve their scouting efficiency. To address this, a dataset of 1483 RGB images of grapevines affected by various diseases and stresses, including FD, was acquired by proximal sensing. The images were taken in the field at a distance of 1-2 meters to capture entire grapevines and an industrial flash was ensuring a constant luminance on the images regardless of the environmental circumstances. Images of 5 grape varieties (Cabernet sauvignon, Cabernet franc, Merlot, Ugni blanc and Sauvignon blanc) were acquired during 2 years (2020 and 2021). Two types of annotations were made: expert diagnosis at the grapevine scale in the field and symptom annotations at the leaf, shoot, and bunch levels on computer. On 744 images, the leaves were annotated and divided into three classes: ‘FD symptomatic leaves’, ‘Esca symptomatic leaves’, and ‘Confounding leaves’. Symptomatic bunches and shoots were, in addition of leaves, annotated on 110 images using bounding boxes and broken lines, respectively. Additionally, 128 segmentation masks were created to allow the detection of the symptomatic shoots and bunches by segmentation algorithms and compare the results to those of the detection algorithms.
format Online
Article
Text
id pubmed-10294005
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-102940052023-06-28 An expertized grapevine disease image database including five grape varieties focused on Flavescence dorée and its confounding diseases, biotic and abiotic stresses Tardif, Malo Amri, Ahmed Deshayes, Aymeric Greven, Marc Keresztes, Barna Fontaine, Gaël Sicaud, Laetitia Paulhac, Laetitia Bentejac, Sophie Da Costa, Jean-Pierre Data Brief Update Article The grapevine is vulnerable to diseases, deficiencies, and pests, leading to significant yield losses. Current disease controls involve monitoring and spraying phytosanitary products at the vineyard block scale. However, automatic detection of disease symptoms could reduce the use of these products and treat diseases before they spread. Flavescence dorée (FD), a highly infectious disease that causes significant yield losses, is only diagnosed by identifying symptoms on three grapevine organs: leaf, shoot, and bunch. Its diagnosis is carried out by scouting experts, as many other diseases and stresses, either biotic or abiotic, imply similar symptoms (but not all at the same time). These experts need a decision support tool to improve their scouting efficiency. To address this, a dataset of 1483 RGB images of grapevines affected by various diseases and stresses, including FD, was acquired by proximal sensing. The images were taken in the field at a distance of 1-2 meters to capture entire grapevines and an industrial flash was ensuring a constant luminance on the images regardless of the environmental circumstances. Images of 5 grape varieties (Cabernet sauvignon, Cabernet franc, Merlot, Ugni blanc and Sauvignon blanc) were acquired during 2 years (2020 and 2021). Two types of annotations were made: expert diagnosis at the grapevine scale in the field and symptom annotations at the leaf, shoot, and bunch levels on computer. On 744 images, the leaves were annotated and divided into three classes: ‘FD symptomatic leaves’, ‘Esca symptomatic leaves’, and ‘Confounding leaves’. Symptomatic bunches and shoots were, in addition of leaves, annotated on 110 images using bounding boxes and broken lines, respectively. Additionally, 128 segmentation masks were created to allow the detection of the symptomatic shoots and bunches by segmentation algorithms and compare the results to those of the detection algorithms. Elsevier 2023-05-12 /pmc/articles/PMC10294005/ /pubmed/37383825 http://dx.doi.org/10.1016/j.dib.2023.109230 Text en © 2023 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Update Article
Tardif, Malo
Amri, Ahmed
Deshayes, Aymeric
Greven, Marc
Keresztes, Barna
Fontaine, Gaël
Sicaud, Laetitia
Paulhac, Laetitia
Bentejac, Sophie
Da Costa, Jean-Pierre
An expertized grapevine disease image database including five grape varieties focused on Flavescence dorée and its confounding diseases, biotic and abiotic stresses
title An expertized grapevine disease image database including five grape varieties focused on Flavescence dorée and its confounding diseases, biotic and abiotic stresses
title_full An expertized grapevine disease image database including five grape varieties focused on Flavescence dorée and its confounding diseases, biotic and abiotic stresses
title_fullStr An expertized grapevine disease image database including five grape varieties focused on Flavescence dorée and its confounding diseases, biotic and abiotic stresses
title_full_unstemmed An expertized grapevine disease image database including five grape varieties focused on Flavescence dorée and its confounding diseases, biotic and abiotic stresses
title_short An expertized grapevine disease image database including five grape varieties focused on Flavescence dorée and its confounding diseases, biotic and abiotic stresses
title_sort expertized grapevine disease image database including five grape varieties focused on flavescence dorée and its confounding diseases, biotic and abiotic stresses
topic Update Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294005/
https://www.ncbi.nlm.nih.gov/pubmed/37383825
http://dx.doi.org/10.1016/j.dib.2023.109230
work_keys_str_mv AT tardifmalo anexpertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT amriahmed anexpertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT deshayesaymeric anexpertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT grevenmarc anexpertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT keresztesbarna anexpertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT fontainegael anexpertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT sicaudlaetitia anexpertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT paulhaclaetitia anexpertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT bentejacsophie anexpertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT dacostajeanpierre anexpertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT tardifmalo expertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT amriahmed expertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT deshayesaymeric expertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT grevenmarc expertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT keresztesbarna expertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT fontainegael expertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT sicaudlaetitia expertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT paulhaclaetitia expertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT bentejacsophie expertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses
AT dacostajeanpierre expertizedgrapevinediseaseimagedatabaseincludingfivegrapevarietiesfocusedonflavescencedoreeanditsconfoundingdiseasesbioticandabioticstresses