Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue (Data Paper) Data in Brief Année : 2018

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

Résumé

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.

Dates et versions

hal-02607454 , version 1 (16-05-2020)

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Citer

Maroua Nouri, Nathalie Gorretta, P. Vaysse, M. Giraud, C. Germain, et al.. Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the early detection of apple scab disease. Data in Brief, 2018, 16, pp.967-971. ⟨10.1016/j.dib.2017.12.043⟩. ⟨hal-02607454⟩
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