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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Detalles Bibliográficos
Autores principales: Nouri, Maroua, Gorretta, Nathalie, Vaysse, Pierre, Giraud, Michel, Germain, Christian, Keresztes, Barna, Roger, Jean-Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Agricultural and Biological Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752091/
https://www.ncbi.nlm.nih.gov/pubmed/29322077
http://dx.doi.org/10.1016/j.dib.2017.12.043
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author Nouri, Maroua
Gorretta, Nathalie
Vaysse, Pierre
Giraud, Michel
Germain, Christian
Keresztes, Barna
Roger, Jean-Michel
author_facet Nouri, Maroua
Gorretta, Nathalie
Vaysse, Pierre
Giraud, Michel
Germain, Christian
Keresztes, Barna
Roger, Jean-Michel
author_sort Nouri, Maroua
collection PubMed
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.
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spelling pubmed-57520912018-01-10 Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease Nouri, Maroua Gorretta, Nathalie Vaysse, Pierre Giraud, Michel Germain, Christian Keresztes, Barna Roger, Jean-Michel Data Brief Agricultural and Biological Science 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. Elsevier 2017-12-21 /pmc/articles/PMC5752091/ /pubmed/29322077 http://dx.doi.org/10.1016/j.dib.2017.12.043 Text en © 2017 The Authors http://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 Agricultural and Biological Science
Nouri, Maroua
Gorretta, Nathalie
Vaysse, Pierre
Giraud, Michel
Germain, Christian
Keresztes, Barna
Roger, Jean-Michel
Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease
title 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_short 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
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752091/
https://www.ncbi.nlm.nih.gov/pubmed/29322077
http://dx.doi.org/10.1016/j.dib.2017.12.043
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