HarvestChoice keeps catalogs of both raster and vector maps of sub-Saharan Africa (downloadable in either ASCII or ESRI Shapefile formats) along with their associated datasets. We also provide access to over 400 articles, survey and census reports on agriculture-related topics in support of investment targeting and prioritization decisions.

Mapping Marginality Hotspots – Geographical Targeting for Poverty Reduction

This mapping approach aims to make the marginalized and poor visible by identifying areas with difficult biophysical and socio-economic conditions.

Crop Production and Road Connectivity in Sub-Saharan Africa: A Spatial Analysis

This study examines the relationship between transport infrastructure and agriculture in Sub-Saharan Africa using new data obtained from geographic information systems (GIS).

Potential Impact of Investments in Drought Tolerant Maize in Africa

The study evaluates the potential impacts of the Drought Tolerant Maize for Africa (DTMA) project run by CIMMYT and the International Institute for Tropical Agriculture (IITA) in 13 countries of eastern, southern and West Africa: Angola, Benin, Ethiopia, Kenya, Malawi, Mali, Mozambique, Nigeria, Tanzania, Uganda, ambia, and Zimbabwe and Ghana.

Priorities for Realizing the Potential to Increase Agricultural Productivity and Growth in Western and Central Africa

We identify a set of development priorities for agriculture that cut across West Africa, at both the country and the regional level, to achieve economy-wide growth goals in the region.

Crop Production and Road Connectivity in Sub-Saharan Africa: A Spatial Analysis

This study adopts a cross-sectional spatial approach to examine the impact of transport infrastructure on agriculture in Sub-Saharan Africa using new data obtained from geographic information systems (GIS).

Generating Plausible Crop Distribution and Performance Maps for Sub-Saharan Africa Using a Spatially Disaggregated Data Fusion and Optimization Approach

Agricultural production statistics reported at country or sub-national geopolitical scales are used in a wide range of economic analyses, and spatially explicit (geo-referenced) production data are increasingly needed to support improved approaches to the planning and implementation of agricultural development. However, it is extremely challenging to compile and maintain collections of sub-national crop production data, particularly for poorer regions of the world.

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