From unknowns to data-informed decisions: Machine learning to address climate change, food security & support farmers
With growing populations, increasing desertification, and a changing climate, sub-Saharan Africa faces rising food insecurity. Data – specifically granular data – is crucial to mitigating these challenges and supporting farmers. For much of the continent, however, gaps in existing data remain.
This session at ICTforAg 2022 co-created by Development Gateway and DevelopMetrics focused on ways machine learning can support decision-makers better plan investments and projects to improve outcomes, measure impact and reach goals.
Speakers:
Lindsey Moore, CEO, DevelopMetrics
David Guerena, Agronomist, QED
Charlene Migwe - Kagume, Senior Consultant, Development Gateway
Scott Wallace, Principal, Wallace & Associates
Dr. Mercy Ngunjiri, Agronomist and GIS Specialist, IFDC
Dr. Catherine Lilian Nakalembe, Associate Research Professor, University of Maryland
Ariel BenYishay, Chief Economist, AidData @ William and Mary