Satellite data and supervised learning to prevent impact of drought on crop production: meteorological drought
Type:
Title:
Satellite data and supervised learning to prevent impact of drought on crop production: meteorological drought
Author:
Kruseman, G.;
https://orcid.org/0000-0002-3392-4176
Scopus ID
Researcher ID
Items in this Repository
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Ornella, L.;
Crossa, J.

Kruseman, G.



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Ornella, L.;
Crossa, J.

Year:
2019
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Pages:
23 slides
Place of Publication:
Soesterberg (Netherlands)
Publisher:
CIMMYT
Citation:
Satellite data and supervised learning to prevent impact of drought on crop production: meteorological drought. 2019. Kruseman, G.; Ornella, L.; Crossa, J. CIMMYT.