Data underlying the publication: Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images

Datacite citation style:
Polder, G. (Gerrit); van Marrewijk, B. M. (Bart); P.M. (Pieter) Blok; de Villiers, H.A.C. (Hendrik); van der Wolf, J.M. (Jan) et. al. (2020): Data underlying the publication: Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:b1f7853c-f52b-4f33-bb06-a6539c7a45a4
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Wageningen University and Research logo
usage stats
2724
views
1801
downloads
geolocation
Location of Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images
lat (N): 52.6732
lon (E): 5.7132
view on openstreetmap
time coverage
2017-06-27/2017-07-03
licence
cc-by-sa.png logo CC BY-SA 4.0
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.
history
  • 2020-06-16 first online, published, posted
publisher
4TU.Centre for Research Data
format
media types: application/octet-stream, application/vnd.google-earth.kml+xml, application/x-7z-compressed, image/png, image/tiff, text/plain
funding
  • Dutch Topsector Agri&Food. Op naar precisielandbouw 2.0, AF-14275
organizations
Wageningen University and Research

DATA

files (1)