cff-version: 1.2.0
abstract: "Bacterial and virus diseases causes major damage in agriculture. Classifying those is an challenging but important task. This dataset contains +-274 000 spectral line images (512 pixels x 56 bands) of 6 different cultivars of healthy, bacterial (Erwinia) and virus (PVY) infected plants. The coordinates of each image is stored and can be compared with the stored position of individual plants labeled by crop experts."
authors:
  - family-names: Polder
    given-names: G. (Gerrit)
    orcid: "https://orcid.org/0000-0003-4896-4776"
  - family-names: van Marrewijk
    given-names: B. M. (Bart)
    orcid: "https://orcid.org/0000-0003-3681-8114"
  - family-names: Blok
    given-names: P.M. (Pieter)
    orcid: "https://orcid.org/0000-0001-9535-5354"
  - family-names: de Villiers
    given-names: H.A.C. (Hendrik)
    orcid: "https://orcid.org/0000-0002-8257-9831"
  - family-names: van der Wolf
    given-names: J.M. (Jan)
  - family-names: Kamp
    given-names: J. (Jan)
  - family-names: Tielen
    given-names: T. (Toon)
    orcid: "https://orcid.org/0000-0003-3991-3942"
  - family-names: Swinkels
    given-names: G.A.L.M. (Gert-Jan)
  - family-names: Mencarelli
    given-names: A. (Angelo)
    orcid: "https://orcid.org/0000-0003-1073-5134"
  - family-names: Boons
    given-names: K. (Kees)
title: "Data underlying the publication: Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/uuid:b1f7853c-f52b-4f33-bb06-a6539c7a45a4
license: CC BY-SA 4.0
date-released: 2020-06-16