Blog entries filtered by: Kenya
Jason Beddow of HarvestChoice and the University of Minnesota, along with Darren Kriticos of CSIRO, explain how HarvestChoice is revolutionizing the science of tracking -- and predicting -- the paths of devastating crop pests and diseases such as UG99.
Just wrapped up three days in Nairobi with our colleagues at the Regional Strategic Analysis and Knowledge Support System (ReSAKSS), pulling together agricultural production and research experts from around East and Central Africa to share our tools and learn how we can make our data products work better for them.
Mapping the global extent of soil constraints to crop growth plays an important role in developing strategies for agricultural production, environmental protection, and sustainable development at regional and global scales. The most widely used dataset is the Soil Fertility Capability Classification System (FCC) developed by Center for International Earth Science Information Network (CIESIN) and the Tropical Agriculture Program of the Earth Institute at Columbia University.
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!
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.