Hyperspectral images of grapevine leaves including healthy leaves and leaves with biotic and abiotic symptoms

Abstract A hyperspectral imaging database was collected on two hundred and five grape plant leaves. Leaves were measured with a hyperspectral camera in the visible/near infrared spectral range under controlled conditions. This dataset contains hyperspectral acquisition of grape leaves of seven diffe...

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Main Authors: Maxime Ryckewaert, Daphné Héran, Jean-Philippe Trani, Silvia Mas-Garcia, Carole Feilhes, Fanny Prezman, Eric Serrano, Ryad Bendoula
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02642-w
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author Maxime Ryckewaert
Daphné Héran
Jean-Philippe Trani
Silvia Mas-Garcia
Carole Feilhes
Fanny Prezman
Eric Serrano
Ryad Bendoula
author_facet Maxime Ryckewaert
Daphné Héran
Jean-Philippe Trani
Silvia Mas-Garcia
Carole Feilhes
Fanny Prezman
Eric Serrano
Ryad Bendoula
author_sort Maxime Ryckewaert
collection DOAJ
description Abstract A hyperspectral imaging database was collected on two hundred and five grape plant leaves. Leaves were measured with a hyperspectral camera in the visible/near infrared spectral range under controlled conditions. This dataset contains hyperspectral acquisition of grape leaves of seven different varieties. For each variety, acquisitions were performed on healthy leaves and leaves with foliar symptoms caused by different grapevine diseases showing clear symptoms of biotic or abiotic stress on other organs. For each leaf, chemical measurements such as chlorophyll and flavonol contents were also performed.
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spelling doaj.art-363823e4c20e45148038823a626ddb2c2023-10-29T12:14:04ZengNature PortfolioScientific Data2052-44632023-10-011011910.1038/s41597-023-02642-wHyperspectral images of grapevine leaves including healthy leaves and leaves with biotic and abiotic symptomsMaxime Ryckewaert0Daphné Héran1Jean-Philippe Trani2Silvia Mas-Garcia3Carole Feilhes4Fanny Prezman5Eric Serrano6Ryad Bendoula7ITAP, Univ Montpellier, INRAE, Institut AgroITAP, Univ Montpellier, INRAE, Institut AgroITAP, Univ Montpellier, INRAE, Institut AgroITAP, Univ Montpellier, INRAE, Institut AgroIFV, 1920 Route de Lisle-sur-TarnIFV, 1920 Route de Lisle-sur-TarnIFV, 1920 Route de Lisle-sur-TarnITAP, Univ Montpellier, INRAE, Institut AgroAbstract A hyperspectral imaging database was collected on two hundred and five grape plant leaves. Leaves were measured with a hyperspectral camera in the visible/near infrared spectral range under controlled conditions. This dataset contains hyperspectral acquisition of grape leaves of seven different varieties. For each variety, acquisitions were performed on healthy leaves and leaves with foliar symptoms caused by different grapevine diseases showing clear symptoms of biotic or abiotic stress on other organs. For each leaf, chemical measurements such as chlorophyll and flavonol contents were also performed.https://doi.org/10.1038/s41597-023-02642-w
spellingShingle Maxime Ryckewaert
Daphné Héran
Jean-Philippe Trani
Silvia Mas-Garcia
Carole Feilhes
Fanny Prezman
Eric Serrano
Ryad Bendoula
Hyperspectral images of grapevine leaves including healthy leaves and leaves with biotic and abiotic symptoms
Scientific Data
title Hyperspectral images of grapevine leaves including healthy leaves and leaves with biotic and abiotic symptoms
title_full Hyperspectral images of grapevine leaves including healthy leaves and leaves with biotic and abiotic symptoms
title_fullStr Hyperspectral images of grapevine leaves including healthy leaves and leaves with biotic and abiotic symptoms
title_full_unstemmed Hyperspectral images of grapevine leaves including healthy leaves and leaves with biotic and abiotic symptoms
title_short Hyperspectral images of grapevine leaves including healthy leaves and leaves with biotic and abiotic symptoms
title_sort hyperspectral images of grapevine leaves including healthy leaves and leaves with biotic and abiotic symptoms
url https://doi.org/10.1038/s41597-023-02642-w
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