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Jun 27, 2017 - CIMMYT Research Software
Fernando Aguate; Samuel Trachsel; Lorena González-Pérez; Juan Burgueño; José Crossa; Mónica Balzarini; David Gouache; Matthieu Bogard; Gustavo de los Campos, 2017, "Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods", https://hdl.handle.net/11529/10972, CIMMYT Research Data & Software Repository Network, V1
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.
Unknown - 695.0 KB - MD5: ad2a90490e7c619747d1690bddd1cd04
Raw data in R format
HTML - 2.0 MB - MD5: 6ec2dfc08226ef6b760d0b76c2040591
R- code to analyze data step by step
Unknown - 48.5 KB - MD5: 470fba8575d2b169d9224e87683af7e0
05 Stata Files
Plain Text - 34.6 KB - MD5: 6f475fff74371c3be1086d9cb2eb9a73
06 CSV Files
Unknown - 25.5 KB - MD5: ebff4d5fa18c2bb6ea421f29d151be2b
05 Stata Files
Household information details
Plain Text - 161.6 KB - MD5: c6947df01f06ab2e1a9a851c085e9631
06 CSV Files
Unknown - 114.9 KB - MD5: 6c2552ae712dbee1525453bfd1d512af
05 Stata Files
Large plot for rice details
Plain Text - 37.7 KB - MD5: fd628067bfae4afe1724cfe62ba0d2bb
06 CSV Files
Unknown - 44.0 KB - MD5: ae59301b5131edaaf9db0beba03203af
05 Stata Files
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