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3 results on '"Maroua Nouri"'

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

Author

Maroua Nouri, Nathalie Gorretta, Pierre Vaysse, Michel Giraud, Christian Germain, Barna Keresztes, and Jean-Michel Roger

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390
Abstract

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.

Published
2018
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3. Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease

Author

Pierre Vaysse, Christian Germain, Michel Giraud, Jean-Michel Roger, Barna Keresztes, Maroua Nouri, Nathalie Gorretta, CTIFL PRIGONRIEUX FRA, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), and Université de Bordeaux (UB)

Subjects
0106 biological sciences, Multidisciplinary, Advanced stage, Apple tree, Early detection, Hyperspectral imaging, 04 agricultural and veterinary sciences, Biology, lcsh:Computer applications to medicine. Medical informatics, biology.organism_classification, 01 natural sciences, Reference image, Horticulture, Agricultural and Biological Science, Apple scab, [SDE]Environmental Sciences, 040103 agronomy & agriculture, lcsh:R858-859.7, 0401 agriculture, forestry, and fisheries, lcsh:Science (General), lcsh:Q1-390, 010606 plant biology & botany
Abstract

International audience; 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.

Published
2018
Full Text
View/download PDF

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