Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease

This dataset presents two series of hyperspectral images of healthy and infected apple tree leaves acquired daily, from two days after inoculation until an advanced stage of infection (11 days after inoculation). The hyperspectral images were calibrated by reflection correction and registered to mat...

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Main Authors:	Maroua Nouri, Nathalie Gorretta, Pierre Vaysse, Michel Giraud, Christian Germain, Barna Keresztes, Jean-Michel Roger
Format:	Article
Language:	English
Published:	Elsevier 2018-02-01
Series:	Data in Brief
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352340917307382

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spelling	doaj-e871d1111e774b4c957c7fc244a90e212020-11-25T01:24:49ZengElsevierData in Brief2352-34092018-02-0116967971Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab diseaseMaroua Nouri0Nathalie Gorretta1Pierre Vaysse2Michel Giraud3Christian Germain4Barna Keresztes5Jean-Michel Roger6CTIFL, Interprofessional Technical Center for Fruit and Vegetables, 24130 Prigonrieux, France; Corresponding author.ITAP, Irstea, Montpellier SupAgro, Univ Montpellier, Montpellier, FranceCTIFL, Interprofessional Technical Center for Fruit and Vegetables, 24130 Prigonrieux, FranceCTIFL, Interprofessional Technical Center for Fruit and Vegetables, 24130 Prigonrieux, FranceUniversity of Bordeaux, IMS UMR 5218, 33400 Talence, FranceUniversity of Bordeaux, IMS UMR 5218, 33400 Talence, FranceITAP, Irstea, Montpellier SupAgro, Univ Montpellier, Montpellier, FranceThis dataset presents two series of hyperspectral images of healthy and infected apple tree leaves acquired daily, from two days after inoculation until an advanced stage of infection (11 days after inoculation). The hyperspectral images were calibrated by reflection correction and registered to match the geometry of one reference image. On the last experiment day, scab positions are provided.http://www.sciencedirect.com/science/article/pii/S2352340917307382
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Maroua Nouri Nathalie Gorretta Pierre Vaysse Michel Giraud Christian Germain Barna Keresztes Jean-Michel Roger
spellingShingle	Maroua Nouri Nathalie Gorretta Pierre Vaysse Michel Giraud Christian Germain Barna Keresztes Jean-Michel Roger Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease Data in Brief
author_facet	Maroua Nouri Nathalie Gorretta Pierre Vaysse Michel Giraud Christian Germain Barna Keresztes Jean-Michel Roger
author_sort	Maroua Nouri
title	Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease
title_short	Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease
title_full	Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease
title_fullStr	Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease
title_full_unstemmed	Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease
title_sort	near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease
publisher	Elsevier
series	Data in Brief
issn	2352-3409
publishDate	2018-02-01
description	This dataset presents two series of hyperspectral images of healthy and infected apple tree leaves acquired daily, from two days after inoculation until an advanced stage of infection (11 days after inoculation). The hyperspectral images were calibrated by reflection correction and registered to match the geometry of one reference image. On the last experiment day, scab positions are provided.
url	http://www.sciencedirect.com/science/article/pii/S2352340917307382
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Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease

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