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10,341 to 10,350 of 13,551 Results
Data_Set_1.RData.gz
Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
Gzip Archive - 4.3 MB - MD5: 231fdf85ad051b494deacd4886d55708
Data_Set_2.RData.gz
Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
Gzip Archive - 4.4 MB - MD5: 74cf012e823cf8ff5eff6a51f10d592c
Data_Set_3.RData.gz
Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
Gzip Archive - 6.8 MB - MD5: 4c158d81032c889c280f1918b5d1b16f
Data_Set_4.RData.gz
Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
Gzip Archive - 7.0 MB - MD5: bc2a4fce307e769e24b9f477e14592f6
Data_Set_5.RData.gz
Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
Gzip Archive - 6.8 MB - MD5: 0af143aab2914c4d065ef8ef9037632d
Data_Set_6.RData.gz
Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
Gzip Archive - 153.6 KB - MD5: d891bbd1db0577097ef9ce267581237f
Data_Set_7.RData.gz
Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
Gzip Archive - 261.2 KB - MD5: f0396ede52b49e1a91090a95e299bc31
SUPPLEMENTARY MATERIAL.docx
Oct 22, 2018 - New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes
MS Word - 358.9 KB - MD5: 6bfa2583115c2816b2945150fb882e77
Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico
Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico
Oct 8, 2018 - CIMMYT Research Data
Sonder, Kai; Schulthess, Urs; Chomé, Guillaume, 2018, "Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico", https://hdl.handle.net/11529/10548137, CIMMYT Research Data & Software Repository Network, V1
Conservation agriculture has been tested and out scaled for over 60 years in rural areas of Mexico, however the rate of adoption and dis adoption, as well as the current area under CA is unknown. Estimates range between 50,000 ha and over 800,000 ha depending on the source. Studi...
Technical Report-FAO-SIAC-Estimating CA adoption in Mexico-03Jun16 to 30....pdf
Technical Report-FAO-SIAC-Estimating CA adoption in Mexico-03Jun16 to 30....pdf
Oct 8, 2018 - Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico
Adobe PDF - 1.9 MB - MD5: 37f4bdf8baee6dec17d3ca1678950a9c
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