Can mobile phone data predict women’s economic empowerment?
Call detail records from mobile phone data hold significant potential to predict women’s economic empowerment, finds a recent study by CGIAR and Dalberg Data Insights.
Call detail records from mobile phone data hold significant potential to predict women’s economic empowerment, finds a recent study by CGIAR and Dalberg Data Insights.
This webinar by the Geospatial Data Community of Practice presents an overview of Dr. Murali Krishna Gumma’s croplands mapping work using satellite remote sensing, an extensive collection of ground referencing data, and machine learning algorithms.
This session on machine learning and crop modeling aired live at the virtual 2020 CGIAR Convention on Big Data in Agriculture.
A webinar organized by Our Radiant Earth Foundation and the Geospatial Data Community of Practice of the CGIAR Platform for Big Data in Agriculture.
Webinar organized by the CGIAR Platform for Big Data in Agriculture.
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