GROW-Africa (Groundtruthing Remote-sensing for Optimizing Yield in Africa) Database, v2.0
Authors/Creators
-
1.
California Institute of Technology, Division of Geological and Planetary Sciences
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2.
Bill & Melinda Gates Foundation
- 3. University of Maryland
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4.
University of Manitoba
Description
The GROW-Africa (Groundtruthing Remote-sensing for Optimizing Yield in Africa) Database includes n = 535,844 georeferenced observations of crop yields across Africa for the period 1960-2023. The vast majority of the observations span the period 2000-2023. The database includes 25 key crops, including maize, sorghum, cassava, groundnuts, cowpeas, rice, yams, and millet. The database assimilates observations from a range of spatial scales, from regional government statistics, to household farmer surveys, to plot-level crop cuts. The GROW-Africa database is intended to provide a platform for performing data-driven analyses of historical yield trends, as well as for training algorithms to quantify crop yields from Earth Observation (satellite) data.
The database is described in the publication:
Geyman, E.C., Ferris, A., Sahajpal, R., Anderson, W., Lee, D. and Hausmann, N., 2025. An Africa-wide agricultural production database to support policy and satellite-based measurement systems. Scientific Data, 12(1), p.1087.
Files
readme.txt
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Additional details
Funding
- Bill & Melinda Gates Foundation
- Hertz Foundation
References
- Geyman, E.C., Ferris, A., Sahajpal, R., Anderson, W., Lee, D. and Hausmann, N., 2025. An Africa-wide agricultural production database to support policy and satellite-based measurement systems. Scientific Data, 12(1), p.1087.