Research Output per year
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
|Date made available||16 Jun 2020|
|Publisher||Wageningen University & Research|
Polder, G., Blok, P. M., de Villiers, H. A. C., van der Wolf, J. M. & Kamp, J. A. L. M., 7 Mar 2019, In : Frontiers in Plant Science. 10, 209.
Research output: Contribution to journal › Article › Academic › peer-review
Polder, G. (Creator), van Marrewijk, B. (Creator), Blok, P. (Creator), de Villiers, H. (Creator), van der Wolf, J. (Creator), Kamp, J. (Creator) (16 Jun 2020). Data underlying the publication: Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images. Wageningen University & Research. 10.4121/uuid:b1f7853c-f52b-4f33-bb06-a6539c7a45a4