Oct 6, 2014 by Carlo Azzarri

HarvestChoice recently launched a series of Country Agricultural Snapshots to illustrate the basic characteristics of farming households across a panel of five sub-Saharan African countries (Ethiopia, Ghana, Malawi, Tanzania, and Uganda). These non-technical reports include country-level information that allow for cross-country comparisons on a range of important dimensions related to farming and livestock.

Oct 6, 2014 by Jeffrey Dickinson

One of the things we are working on at HarvestChoice is the diffusion of agricultural technologies. A number of papers include maps that show how a technology moves across areas and we have also begun to construct similar maps for Tanzania using agricultural census data. By better visualizing the diffusion of technology throughout Tanzania, we hope that this will spark more conversation about what might be influencing farmer decisions in sub-Saharan Africa.

Oct 7, 2013 by Naomie Sakana

HarvestChoice is bringing together user-friendly tools, analytical know-how, and layers of big data to tell the story of where in sub-Saharan Africa and inform investment decisions as part of the G-8 initiative, New Alliance for Food Security and Nutrition.

May 23, 2013 by Jawoo Koo

Where in sub-Saharan Africa is the difference between actual and potential yield of maize most striking? We can answer this question pixel by pixel, region by region, but for the purpose of this brief analysis, let’s talk countries.

Mar 7, 2013 by Jagger Harvey

May 28-June 1, 2012 (Dar es Salaam, Tanzania): As part of a multidisciplinary and multinational collaboration, a team of researchers representing several research institutions met to discuss the growing aflatoxin problem in sub-Saharan Africa.

Photo credit: James Karanja, KARI

Aug 16, 2010 by Zhe Guo

HarvestChoice AgMarketFinder is a web-based geoprocessing GIS application that provides a quick-and-easy access to the spatially-explicit agricultural statistics databases, including crop, livestock, and rural/urban human population. No GIS skill necessary!

AgMarketFinder v2.0

Aug 15, 2010 by Melanie Bacou

HarvestChoice relies heavily on large sets of household survey data to evaluate the economic impact of biophysical productivity responses at the farm level and on target populations.

Household Attributes (Credits: http://www.flickr.com/photos/dadakim/1346547512/)

Aug 5, 2010 by Jawoo Koo

Not only crop growth and yield, crop models can be also used to estimate potential damages from pest/disease through a predefined set of damage pathways, or coupling points.

Army worm damage on corn