%0 Generic
%A Polder, G. (Gerrit)
%A van Marrewijk, B. M. (Bart)
%A Blok, P.M. (Pieter)
%A de Villiers, H.A.C. (Hendrik)
%A van der Wolf, J.M. (Jan)
%A Kamp, J. (Jan)
%A Tielen, T. (Toon)
%A Swinkels, G.A.L.M. (Gert-Jan)
%A Mencarelli, A. (Angelo)
%A Boons, K. (Kees)
%D 2020
%T Data underlying the publication: Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images
%U https://data.4tu.nl/articles/dataset/Data_underlying_the_publication_Potato_Virus_Y_Detection_in_Seed_Potatoes_Using_Deep_Learning_on_Hyperspectral_Images/12713183/1
%R 10.4121/uuid:b1f7853c-f52b-4f33-bb06-a6539c7a45a4
%K Disease detection
%K Erwinia
%K Potato Y virus
%K hyperspectral imaging
%K imaging spectroscopy
%K potato plants
%X 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.
%I 4TU.Centre for Research Data