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Internal Document 2018

Autor: CGIAR Platform for Big Data in Agriculture
Enlace original: https://cgspace.cgiar.org/handle/10568/101441

Investigación en Agricultura
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CGIAR Platform for Big Data in Agriculture ,  [BIG DATA Geospatial Community of Practice – Work Plan 2018] ,  BIG DATA Geospatial Community of Practice – Work Plan 2018
Report 2019

Autor: International Center for Tropical Agriculture
Enlace original: https://cgspace.cgiar.org/handle/10568/101312

Investigación en Agricultura
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International Center for Tropical Agriculture ,  [CIAT Annual Report 2018 Partnerships for Delivering Impact] ,  CIAT Annual Report 2018 Partnerships for Delivering Impact
Series 2016-01

Autor: Abdulkadri, Abdullahi Evans, Alecia Ash, Tanisha

The data revolution for sustainable development has triggered interest in the use of big data for official statistics such that theUnited Nations Economic and Social Council considers it to be almost an obligation for statistical organizations to explore big data. Big data has been promoted as a...

Enlace original: https://repositorio.cepal.org/handle/11362/39853

Repositorio Digital Cepal
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Abdulkadri, Abdullahi ,  Evans, Alecia ,  Ash, Tanisha ,  An assessment of big data for official statistics in the Caribbean: Challenges and opportunities
Conference Proceedings 2019

Autor: Le Coq, Jean François Grisa, Catia Sabourin, Eric Sotomayor, Octavio
Enlace original: https://cgspace.cgiar.org/handle/10568/101376

Investigación en Agricultura
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Le Coq, Jean François ,  Grisa, Catia ,  Sabourin, Eric ,  Sotomayor, Octavio ,  [Políticas públicas y desarrollo rural en América Latina: Balance y perspectivas. Memorias del Seminario de la Red de Políticas Públicas y Desarrollo Rural en América Latina (PP-AL), 5 al 7 de septiembre 2018] ,  Políticas públicas y desarrollo rural en América Latina: Balance y perspectivas. Memorias del Seminario de la Red de Políticas Públicas y Desarrollo Rural en América Latina (PP-AL), 5 al 7 de septiembre 2018
Internal Document 2020

Autor: CGIAR Platform for Big Data in Agriculture
Enlace original: https://cgspace.cgiar.org/handle/10568/107321

Investigación en Agricultura
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CGIAR Platform for Big Data in Agriculture ,  [BIG DATA Crop Modeling Community of Practice – Work Plan 2020] ,  BIG DATA Crop Modeling Community of Practice – Work Plan 2020
Internal Document 2020

Autor: CGIAR Platform for Big Data in Agriculture
Enlace original: https://cgspace.cgiar.org/handle/10568/107323

Investigación en Agricultura
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CGIAR Platform for Big Data in Agriculture ,  [BIG DATA Ontologies Community of Practice – Work Plan 2020] ,  BIG DATA Ontologies Community of Practice – Work Plan 2020
Journal Article 2017

Autor: Muthoni, Francis K. Baijukya, Frederick P. Bekunda, Mateete A. Sseguya, H. Kimaro, Anthony A. Alabi, T. Mruma, S. Hoeschle-Zeledon, Irmgard

This paper generates an extrapolation suitability index (ESI) to guide scaling-out of improved maize varieties and inorganic fertilizers. The best-bet technology packages were selected based on yield gap data from trial sites in Tanzania. A modified extrapolation detection algorithm was used to g...

Enlace original: https://cgspace.cgiar.org/handle/10568/89935

Investigación en Agricultura
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Muthoni, Francis K. ,  Baijukya, Frederick P. ,  Bekunda, Mateete A. ,  Sseguya, H. ,  Kimaro, Anthony A. ,  Alabi, T. ,  Mruma, S. ,  Hoeschle-Zeledon, Irmgard ,  [Accounting for correlation among environmental covariates improves delineation of extrapolation suitability index for agronomic technological packages] ,  Accounting for correlation among environmental covariates improves delineation of extrapolation suitability index for agronomic technological packages

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