Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease
| العنوان: | Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease |
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| المؤلفون: | Pierre Vaysse, Christian Germain, Michel Giraud, Jean-Michel Roger, Barna Keresztes, Maroua Nouri, Nathalie Gorretta |
| المساهمون: | 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), Université de Bordeaux (UB) |
| المصدر: | Data in Brief Data in Brief, Elsevier, 2018, 16, pp.967-971. ⟨10.1016/j.dib.2017.12.043⟩ Data in Brief, Vol 16, Iss, Pp 967-971 (2018) |
| بيانات النشر: | HAL CCSD, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | 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 |
| الوصف: | 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. |
| اللغة: | English |
| تدمد: | 2352-3409 |
| DOI: | 10.1016/j.dib.2017.12.043⟩ |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65def5a1692808fe83e0b2d69abd9a54 https://hal.inrae.fr/hal-02607454 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....65def5a1692808fe83e0b2d69abd9a54 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 23523409 |
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| DOI: | 10.1016/j.dib.2017.12.043⟩ |