Visible - Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the monitoring of apple fire blight

Belal Gaci; Florent Abdelghafour; Maxime Ryckewaert; Silvia Mas-Garcia; Marine Louargant; Florence Verpont; Yohana Laloum; Aude Moronvalle; Ryad Bendoula; Jean-Michel Roger

doi:10.1016/j.dib.2023.109532

Visible - Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the monitoring of apple fire blight

Data Brief. 2023 Aug 29:50:109532. doi: 10.1016/j.dib.2023.109532. eCollection 2023 Oct.

Authors

Belal Gaci^{1

2

3}, Florent Abdelghafour^{2

3}, Maxime Ryckewaert^{2

3}, Silvia Mas-Garcia^{2

3}, Marine Louargant¹, Florence Verpont¹, Yohana Laloum¹, Aude Moronvalle¹, Ryad Bendoula^{2

3}, Jean-Michel Roger^{2

3}

Affiliations

¹ CTIFL, France.
² ITAP-INRAE, Institute Agro, University Montpellier, Montpellier, France.
³ ChemHouse Research Group, Montpellier, France.

Abstract

This dataset consists of three groups of hyperspectral images of apple tree plants. The first group of images consists of a temporal monitoring of seven apple tree plants, infected with fire blight (Erwinia amylovora), and six control plants over a period of 15 days. The second group of images includes a temporal monitoring of three infected plants, seven plants subjected to water stress, and seven control plants. The third group of images corresponds to acquisitions made in the orchard on nine trees showing symptoms of fire blight and six control trees. The pixel locations of infected areas have been provided for all images featuring symptomatic plants.

Keywords: Disease detection; Epidemiological monitoring; Fire blight on apple trees; Hyperspectral images.