The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/22210807

Kool, Janne; Evenhuis, Albartus; van den Bosch, Trudy; Lucca, Florencia (2024): Data from: Early detection of phytophthora using hyperspectral imaging field experiment. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/22210807.v1

Dataset

• Horticultural Crops
• Other Biological Sciences
• Plant Biology
• Plant Production and Plant Primary Products
• Biological Sciences

hyperspectral imaging, phytophtora, potato, tuber

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Janne Kool , Albartus Evenhuis , Trudy van den Bosch , Florencia Lucca

The purpose of the study was to determine in the field if itis possible to detect phytopthora in an early stage using hyperspectral imaging. 12 rows of potatoes have been planted, the treatments are described below. The day before that the plants have been visually checked and marked with a colored stick by an expert. In doubt the tubers have been checked in the lab to validate Phytopthora infestans.

• 2024-01-30 first online, published, posted

4TU.ResearchData

csv; png; hdr; raw

Early detection of Phytophthora infestans in potato plants using hyperspectral imaging, local comparison and a convolutional neural network

Agro Field Technology Innovations, Wageningen University & Research