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How Big Data is shaping CGIAR Agriculture Research
Big Data Tools used at CGIAR Centers to support Agricultural Research. How the Big Data Platform is organized, convened and how to inspire.
Increasing Interoperability Between Food and Agricultural Systems: CGIAR & FAO Collaboration: Task Group and Curation Team Report
It is crucial that data resources can talk to each other through thesaurus, ontologies and standards. Therfore, the integration of CGIAR controlled vocabularynto the AGROVOC thesaurus is key to interlink our data sets and ...
CGIAR modeling approaches for resource-constrained scenarios: II. Models for analyzing socioeconomic factors to improve policy recommendations
International crop‐related research as conducted by the CGIAR uses crop modeling for a variety of purposes. By linking crop models with economic models and approaches, crop model outputs can be effectively used as inputs ...
CGIAR modeling approaches for resource‐constrained scenarios: I. Accelerating crop breeding for a changing climate
Crop improvement efforts aiming at increasing crop production (quantity, quality) and adapting to climate change have been subject of active research over the past years. But, the question remains ‘to what extent can ...
Increasing interoperability between food and agricultural information systems: CGIAR & FAO collaboration
It is crucial that data resources can talk to each other through thesaurus, ontologies and standards. Therfore, the integration of CGIAR controlled vocabularynto the AGROVOC thesaurus is key to interlink our data sets and ...
The bigger picture: Using Big Data in water management
This presentation was given during the 1stCairo Water Week.
Artificial Intelligence (AI) and Internet of Things (IoT) for Inclusive Agro-Ecosystems for Sustainable Development
The technological advancements in agriculture have resulted in higher yields but lower nutritional
value and ecological efficiency. Lesser innovations in later sectors have crippled our agroecosystems to meet the demands. ...