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; Sílvia Mas Garcia; Marine Louargant; Florence Verpont; Yohana Laloum; Aude Moronvalle; Ryad Bendoula; Jean-Michel J. -M. Roger

doi:10.1016/j.dib.2023.109532

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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, Sílvia Mas Garcia, Marine Louargant, Florence Verpont, Yohana Laloum, Aude Moronvalle, Ryad Bendoula and Jean-Michel J. -M. Roger

Data in Brief, Vol.50

10/2023

DOI: https://doi.org/10.1016/j.dib.2023.109532

PMID: 37674507

Abstract

Hyperspectral images

Disease detection

Fire blight on apple trees

Epidemiological monitoring

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. & COPY; 2023 CTIFL Lanxade France.

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Title: Visible – Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the monitoring of apple fire blight
Creators - without role: Belal Gaci - Institut Agro Montpellier
Florent Abdelghafour - Institut Agro Montpellier
Maxime Ryckewaert - Institut Agro Montpellier
Sílvia Mas Garcia - ITAP - Technologies et Méthodes pour les Agricultures de demain
Marine Louargant - Centre Technique Des Industries De La Fonderie
Florence Verpont - Centre Technique Des Industries De La Fonderie
Yohana Laloum - Centre Technique Des Industries De La Fonderie
Aude Moronvalle - Centre Technique Des Industries De La Fonderie
Ryad Bendoula - Institut Agro Montpellier
Jean-Michel J. -M. Roger - ITAP - Technologies et Méthodes pour les Agricultures de demain
Publication Details: Data in Brief, Vol.50
Identifiers: 9939337209311
Academic Unit: Laboratoire d'Informatique de Robotique et de Microélectronique de Mtp - LIRMM
Language: English
Resource Type: Dataset
Local Fields: hal-04387090