Early detection of septoria infection on wheat leaves using hyperspectral imaging data

DOI

The present hyperspectral imaging (HSI) database is composed of healthy leaves and leaves infected with Zymoseptoria tritici fungal pathogen responsible for Septoria tritici blotch (STB). Leaves of two durum wheat genotypes were studied under controlled conditions to track the evolution of STB 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.

Identifier
DOI https://doi.org/10.57745/WVP0FJ
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/WVP0FJ
Provenance
Creator LATCHOUMANE, Lorraine ORCID logo
Publisher Recherche Data Gouv
Contributor LATCHOUMANE, Lorraine; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2024
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact LATCHOUMANE, Lorraine (INRAE)
Representation
Resource Type Dataset
Format application/zip; text/comma-separated-values
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Version 1.0
Discipline Agriculture, Forestry, Horticulture; Computer Science; Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences