11,131 to 11,140 of 13,433 Results
Jun 27, 2017 -
Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods
Unknown - 695.0 KB -
MD5: ad2a90490e7c619747d1690bddd1cd04
Raw data in R format |
Jun 27, 2017 -
Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods
HTML - 2.0 MB -
MD5: 6ec2dfc08226ef6b760d0b76c2040591
R- code to analyze data step by step |
Jun 22, 2017 -
Nepal Rice Crop Cut and Survey Data 2016
Unknown - 48.5 KB -
MD5: 470fba8575d2b169d9224e87683af7e0
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Jun 22, 2017 -
Nepal Rice Crop Cut and Survey Data 2016
Plain Text - 34.6 KB -
MD5: 6f475fff74371c3be1086d9cb2eb9a73
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Jun 22, 2017 -
Nepal Rice Crop Cut and Survey Data 2016
Unknown - 25.5 KB -
MD5: ebff4d5fa18c2bb6ea421f29d151be2b
Household information details |
Jun 22, 2017 -
Nepal Rice Crop Cut and Survey Data 2016
Plain Text - 161.6 KB -
MD5: c6947df01f06ab2e1a9a851c085e9631
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Jun 22, 2017 -
Nepal Rice Crop Cut and Survey Data 2016
Unknown - 114.9 KB -
MD5: 6c2552ae712dbee1525453bfd1d512af
Large plot for rice details |
Jun 22, 2017 -
Nepal Rice Crop Cut and Survey Data 2016
Plain Text - 37.7 KB -
MD5: fd628067bfae4afe1724cfe62ba0d2bb
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Jun 22, 2017 -
Nepal Rice Crop Cut and Survey Data 2016
Unknown - 44.0 KB -
MD5: ae59301b5131edaaf9db0beba03203af
Fertilizer application |
Jun 22, 2017 -
Nepal Rice Crop Cut and Survey Data 2016
Plain Text - 14.6 KB -
MD5: e7901caf2be1e4f08f8bf7f06784376b
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