Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods

This is the supplementary methods of "Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield" published in Crop Science · May 2017, DOI: 10.2135/cropsci2017.01.0007. It includes the raw data in R format and the R-code for the analysis.

Data and Resources

Additional Info

Field Value
Author Fernando Aguate, Samuel Trachsel, Lorena González-Pérez, Juan Burgueño, José Crossa, Mónica Balzarini, David Gouache, Matthieu Bogard, Gustavo de los Campos
Maintainer CIMMYT Research Data & Software Repository Network
Last Updated January 20, 2025, 16:47 (UTC)
Created January 20, 2025, 16:47 (UTC)
creator Fernando Aguate
date 2017-06-27T00:00:00
harvest_object_id a09bd1e2-e11a-43ca-aa3e-856e1599701e
harvest_source_id a58b0729-e941-4389-816d-5823f01c0d28
harvest_source_title CIMMYT Research Data
identifier https://hdl.handle.net/11529/10972
metadata_modified 2024-10-26T07:00:02
set_spec cimmytswdvn