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Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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GROW-Africa (Groundtruthing Remote-sensing for Optimizing Yield in Africa) Database, v2.0

Authors: Geyman, Emily; Hausmann, Neil; Ferris, Alex; Sahajpal, Ritvik; Anderson, Weston; Lee, Donghoon;

GROW-Africa (Groundtruthing Remote-sensing for Optimizing Yield in Africa) Database, v2.0

Abstract

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. https://www.nature.com/articles/s41597-025-05257-5

Keywords

Crop cut, LSMS, Africa, Agriculture, Crop yield, Food security

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average