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Data underlying the publication: Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images
datasetposted on 16.06.2020 by G. (Gerrit) Polder, B. M. (Bart) van Marrewijk, P.M. (Pieter) Blok, H.A.C. (Hendrik) de Villiers, J.M. (Jan) van der Wolf, J. (Jan) Kamp, T. (Toon) Tielen, G.A.L.M. (Gert-Jan) Swinkels, A. (Angelo) Mencarelli, K. (Kees) Boons, Y. (Youri) Schoutsen
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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.