Yields Increases through Irrigation
Yields Increases through Irrigation
Open dataset page
Response (Policies and Goals/Targets)
SDG 2
Source
EC-JRC
EC-JRC
Suggested citation
Klinnert, A., Rogna, M., Barbosa, A. L., Tillie, P., & Baldoni, E. (2025). The potential of irrigation for cereals production in Sub–Saharan Africa: A machine learning application for emulating crop growth at large scale. Agricultural Water Management, 314, 109488. DOI: https://doi.org/10.1016/j.agwat.2025.109488
License
Date or time period of observation
2025
Frequency of Update
Geographic coverage
Spatial resolution
No Resolution (points)
WMS base URL
https://africa-knowledge-platform.ec.europa.eu/geoserver/gwc/
Legend URL
Values differ across layers
https://africa-knowledge-platform.ec.europa.eu/geoserver/wms?REQUEST=GetLegendGraphic&VERSION=1.3.0&FORMAT=image/png&LEGEND_OPTIONS=fontColor:0xFFFFFF&WIDTH=20&HEIGHT=20&transparent=true&LAYER=akp:Maize_spatial
https://africa-knowledge-platform.ec.europa.eu/geoserver/wms?REQUEST=GetLegendGraphic&VERSION=1.3.0&FORMAT=image/png&LEGEND_OPTIONS=fontColor:0xFFFFFF&WIDTH=20&HEIGHT=20&transparent=true&LAYER=akp:Sorghum_spatial
https://africa-knowledge-platform.ec.europa.eu/geoserver/wms?REQUEST=GetLegendGraphic&VERSION=1.3.0&FORMAT=image/png&LEGEND_OPTIONS=fontColor:0xFFFFFF&WIDTH=20&HEIGHT=20&transparent=true&LAYER=akp:Millet_spatial
https://africa-knowledge-platform.ec.europa.eu/geoserver/wms?REQUEST=GetLegendGraphic&VERSION=1.3.0&FORMAT=image/png&WIDTH=20&LEGEND_OPTIONS=fontColor:0xFFFFFF&HEIGHT=20&transparent=true&LAYER=akp:Rice_spatial
Layer Data Type
Geospatial server type
Contact Point
marco.rogna@ec.europa.eu