Atza, Elisa; Budko, Neil (2024): Data underlying the publication: Predicting potato plant vigor from the seed tuber properties. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3a97fa0c-8c7d-451a-b8fe-d521f1cec55e.v1

Dataset

x choose version: version 2 - 2025-01-07 (latest)

• Statistics
• Plant Biology
• Applied Mathematics
• Crop and Pasture Production
• Agricultural and Veterinary Sciences
• Mathematical Sciences
• Biological Sciences
• Chemical Sciences

drone-imaging, field experiment, FTIR, XRF, Hyper-spectral-imaging, inverse-regression, metabolome, seed-potato

CC BY 4.0

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

by Elisa Atza , Neil Budko

This dataset accompanies the article "Predicting potato plant vigor from the seed tuber properties", it contains data collected in field experiments and lab measurements over the course of three years. Drone images of the field experiments are available, as well as the extracted canopy measurements. For the seed potatoes we provide the following data: untargeted metabolomic measurements, FTIR spectra, XRF data, and measurements obtained from Hyper-Spectral images for pith and cortex.

• 2024-10-29 first online, published, posted

4TU.ResearchData

.py, .npy, .csv, .pdf, .jpg, .txt

Predicting potato plant vigor from the seed tuber properties

TU Delft, Faculty Electrical Engineering, Mathematics and Computer Science, Delft Institute of Applied Mathematics