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.

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What is the Irrigation Potential for Africa? A Combined Biophysical and Socioeconomic Approach

Authored by:
You, Liangzhi; Ringler, Claudia; Nelson, Gerald; Wood-Sichra, Ulrike; Robertson, Richard; Wood, Stanley; Guo, Zhe; Zhu, Tingju; Sun, Yan
Publisher:
International Food Policy Research Institute (IFPRI), June, 2010, 30 pages.
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Although irrigation in Africa has the potential to boost agricultural productivities by at least 50 percent, food production on the continent is almost entirely rainfed.

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

Authored by:
Nin-Pratt, Alejandro; Johnson, Michael; Magalhaes, Eduardo; Diao, Xinshen; You, Liangzhi; Chamberlin, Jordan
Publisher:
International Food Policy Research Institute (IFPRI), August, 2009, IFPRI Discussion Paper 00876, 76 pages.
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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.

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

Authored by:
You, Liangzhi; Wood, Stanley; Wood-Sichra, Ulrike
Publisher:
International Food Policy Research Institute (IFPRI), October 2007, IFPRI Discussion Paper 00725, 56 pages.
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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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