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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

International Center for Tropical Agriculture[CIAT Annual Report 2018 Partnerships for Delivering Impact]CIAT Annual Report 2018 Partnerships for Delivering Impact

Le Coq, Jean FrançoisGrisa, CatiaSabourin, EricSotomayor, 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

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

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

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...


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

CGIAR Platform for Big Data in Agriculture[BIG DATA Geospatial Community of Practice Work Plan 2019]BIG DATA Geospatial Community of Practice Work Plan 2019

Molero Milan, AnabelReynolds, Matthew P.Asseng, SentholdKholová, JanaRamírez Villegas, JuliánKrupnik, Timothy J.Jones, Peter[CoP on Crop Modeling Mini-Grants Report 2018]CoP on Crop Modeling Mini-Grants Report 2018

Ramírez Villegas, JuliánJiménez, DanielLougee, Robin[Data-driven farming proves fertile ground for O.R.: How CGIAR and CIAT are helping to bridge the human capital divide and grow the digital revolution in the developing world’s agriculture industry.]Data-driven farming proves fertile ground for O.R.: How CGIAR and CIAT are helping to bridge the human capital divide and grow the digital revolution in the developing world’s agriculture industry.

The availability of free and open access to large amounts of crop and weather data—combined with data mining approaches—enabled researchers to spot the main limiting factors of crop productivity at a site-specific scale, combine it with seasonal climate predictions, and get the information to far...


Jiménez, DanielRamírez Villegas, Julián[Unlocking Big Data’s Potential to Strengthen Farmers’ Resilience: The Platform for Big Data in Agriculture]Unlocking Big Data’s Potential to Strengthen Farmers’ Resilience: The Platform for Big Data in Agriculture

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