ICAR Research Data Repository for Knowledge Management
Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods
CIMMYT Research Data & Software Repository Network Dataverse OAI Archive
View Archive Info| Field | Value | |
| Title |
Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods
|
|
| Identifier |
https://hdl.handle.net/11529/10972
|
|
| Creator |
Fernando Aguate
Samuel Trachsel Lorena González-Pérez Juan Burgueño José Crossa Mónica Balzarini David Gouache Matthieu Bogard Gustavo de los Campos |
|
| Publisher |
CIMMYT Research Data & Software Repository Network
|
|
| Description |
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.
|
|
| Subject |
Agricultural Sciences
Maize Bayesian prediction Yield prediction High-throughput phenotyping Hyperspectral image analysis |
|
| Date |
2016
|
|