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

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

doi:10.1016/j.dib.2017.12.043

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

Data Brief. 2017 Dec 21:16:967-971. doi: 10.1016/j.dib.2017.12.043. eCollection 2018 Feb.

Authors

Maroua Nouri¹, Nathalie Gorretta², Pierre Vaysse¹, Michel Giraud¹, Christian Germain³, Barna Keresztes³, Jean-Michel Roger²

Affiliations

¹ CTIFL, Interprofessional Technical Center for Fruit and Vegetables, 24130 Prigonrieux, France.
² ITAP, Irstea, Montpellier SupAgro, Univ Montpellier, Montpellier, France.
³ University of Bordeaux, IMS UMR 5218, 33400 Talence, France.

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.