Scientific Data (Oct 2023)

Hyperspectral images of grapevine leaves including healthy leaves and leaves with biotic and abiotic symptoms

  • Maxime Ryckewaert,
  • Daphné Héran,
  • Jean-Philippe Trani,
  • Silvia Mas-Garcia,
  • Carole Feilhes,
  • Fanny Prezman,
  • Eric Serrano,
  • Ryad Bendoula

DOI
https://doi.org/10.1038/s41597-023-02642-w
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 9

Abstract

Read online

Abstract A hyperspectral imaging database was collected on two hundred and five grape plant leaves. Leaves were measured with a hyperspectral camera in the visible/near infrared spectral range under controlled conditions. This dataset contains hyperspectral acquisition of grape leaves of seven different varieties. For each variety, acquisitions were performed on healthy leaves and leaves with foliar symptoms caused by different grapevine diseases showing clear symptoms of biotic or abiotic stress on other organs. For each leaf, chemical measurements such as chlorophyll and flavonol contents were also performed.