Early detection of Zymoseptoria tritici infection on wheat leaves using hyperspectral imaging data
This article presents a hyperspectral imaging (HSI) database of healthy leaves and leaves infected with <i>Zymoseptoria tritici</i> fungal pathogen responsible for leaf blotch (Lb) disease. Leaves of two durum wheat genotypes were studied under controlled conditions to track the evolution of Lb disease and capture significant spectral and spatial differences until the onset of symptoms. Hyperspectral image acquisitions were purchased with two cameras in visible-near infrared (VNIR) and short-wave infrared (SWIR) spectral ranges on eighteen dates between one day before inoculation and twenty days after inoculation. For each wavelength range studied, a total of 1175 images provided information on 3326 leaves measured throughout the experiment. These data are valuable since they can be used as a basis to monitor disease's development over time, to build leaf classification models according to their infection status per genotype per day, to develop prediction models related to symptoms' appearance, or to test imaging and spectral analysis methods.
Authors
- Maxime Ryckewaert (ORCID: https://orcid.org/0000-0002-9494-797X)
- Jean‐Michel Roger (ORCID: https://orcid.org/0000-0003-2123-5266)
- Ryad Bendoula (ORCID: https://orcid.org/0000-0002-2794-1252)
- Martin Ecarnot (ORCID: https://orcid.org/0000-0003-2289-276X)
- Pierre Roumet (ORCID: https://orcid.org/0000-0003-1054-2156)
- Nathalie Gorretta (ORCID: https://orcid.org/0000-0002-4723-9516)
- Héloïse Villesseche (ORCID: https://orcid.org/0000-0002-2781-6216)
- Elsa Ballini (ORCID: https://orcid.org/0000-0002-2571-2069)
- Silvia Mas-Garcia
- Lorraine Latchoumane
- Flora Tavernier
Institutions
- Centre National de la Recherche Scientifique (FR)
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement (FR)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Université de Montpellier (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (FR)
- Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (FR)
- Institut Agro Montpelier (FR)
- Services déconcentrés d'appui à la recherche Occitanie-Montpellier (FR)
- Institut de Recherche pour le Développement (FR)
Publication Details
- Journal
- Data in Brief
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1016/j.dib.2025.111404
- Citations
- 1
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.75