771 to 780 of 1,250 Results
Sep 18, 2017 -
Developing crop and resource management practices for sustainable future cereal based cropping systems
Plain Text - 4.7 KB -
MD5: 13696a1030aac9dfa5aa11bad91e04a3
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Sep 18, 2017 -
Developing crop and resource management practices for sustainable future cereal based cropping systems
Plain Text - 94.6 KB -
MD5: 467985f1fd0dcea3ec9471c55ec82ba2
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Sep 11, 2017 - CIMMYT Research Data
Marenya, Paswel; Kassie, Menale; Muricho, Geoffrey; Mangisoni, Julius; Yirga, Chilot; Mishili, Fulgence; Obare, Gideon; Tostao, Emilio, 2017, "Pathways to sustainable intensification in Eastern and Southern Africa - cross country report 2013", https://hdl.handle.net/11529/11072, CIMMYT Research Data & Software Repository Network, V1
The main objective of this report is to present the overall results from the APP project survey across the five project countries. The results are meant to share knowledge on sustainab le intensification practices (SIPs) landscape, maize productivity, access to institutional serv... |
Sep 11, 2017 -
Pathways to sustainable intensification in Eastern and Southern Africa - cross country report 2013
Unknown - 2.0 MB -
MD5: d5bbd5ad5bbccbfb3ebb6cbe6d21713c
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Sep 6, 2017 -
Maize crop cut data from Odisha plateau
Plain Text - 1.4 KB -
MD5: c4d719076e7f9dc4dd523e889056e2b2
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Sep 6, 2017 - CIMMYT Research Data
Sonder, Kai; Guillaume Chaume; Urs Schulthess, 2017, "FAO-SIAC Estimating CA adoption in Sinaloa (Municipality of Santiago, El Fuerte, Guasave) and Sonora (Municipality of Angostura, Mocorito, Navolato, Culiacan, San Ignacio Rio Muerto, Cajeme, Benito Juarez, Navojoa, Etchojoa), Mexico (ground-truthing sites)", https://hdl.handle.net/11529/11069, CIMMYT Research Data & Software Repository Network, V1
Use of remote sensing based radar images for zero tillage detection in Sinaloa (Municipality of Santiago, El Fuerte and Guasave) and Sonora (Municipality of Angostura, Mocorito, Navolato, Culiacan, San Ignacio Rio Muerto, Cajeme, Benito Juarez, Navojoa, Etchojoa), Mexico. |
Unknown - 3.4 KB -
MD5: 68569810b57e69b8e59a54dfd13deeb6
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Plain Text - 143 B -
MD5: e729936bf5360b37a15365fc295a1901
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Unknown - 1.5 KB -
MD5: 2860179dae6e91d542b92c0cdb28b11e
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Plain Text - 717 B -
MD5: 3a8b630dbb9a696a60a286291868d423
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