TY - DATA
T1 - Data underlying the publication: Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images
PY - 2020/06/16
AU - G. (Gerrit) Polder
AU - B. M. (Bart) van Marrewijk
AU - P.M. (Pieter) Blok
AU - H.A.C. (Hendrik) de Villiers
AU - J.M. (Jan) van der Wolf
AU - J. (Jan) Kamp
AU - T. (Toon) Tielen
AU - G.A.L.M. (Gert-Jan) Swinkels
AU - A. (Angelo) Mencarelli
AU - K. (Kees) Boons
UR - 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
DO - 10.4121/uuid:b1f7853c-f52b-4f33-bb06-a6539c7a45a4
KW - Disease detection
KW - Erwinia
KW - Potato Y virus
KW - hyperspectral imaging
KW - imaging spectroscopy
KW - potato plants
N2 - 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.
ER -