Blog entries by Jawoo Koo
While we were brainstorming “big ideas” at a recent working retreat, we stumbled upon the idea of promoting FourSquare as a tool to monitor smallholder farmers’ crop management practices.
With limited resources to cope with weather variability, smallholder farmers in Sub-Saharan Africa (SSA) are facing highly unreliable crop production from year to year. In this modeling exercise we quantified how much area is under such condition and what are their production potential under intensification. The simulation result indicates that, without further intensification, only 15% of current maize growing area has the potential to reliably produce more than 3 t/ha, a yield level suggested as being sufficient to sustain the cereal needs of a typical smallholder household. However, with well-managed intensification, 82% of the current maize area showed the potential to reliably produce 3 t/ha or more.
What's the reported level of maize yield in Chad? Or, how about for all Sub-Saharan Countries?
What's the time trend of groundnut yield in Ghana? Please be quick; you have one minute to find the answers! OK, good questions.
"How to compile and run DSSAT v4.5 on Linux?" Good question.
HarvestChoice uses a so-called
meso-scale spatial grid typically at 10km or 5-arc minute resolution.
Crop systems models can help researchers estimate the future of food security under climate scenarios. Many crop models are known to exist around the world - for different crops with varying complexities, yet it is not easy to find the right model for the right problem. To better understand the global extent of crop model development and to identify gaps in capabilities, HarvestChoice participated in an initiative to conduct a rapid meta-analysis of crop models using on-line survey to the crop modeling community in the world. Here are the key findings.
How to use the weather generator in the DSSAT Crop Systems Model for climate change studies, and what should I know? Good question.
Long-term yield trials are great resources for agricultural researches in multiple disciplines, but such dataset have not been readily available in Sub-Saharan Africa. The Hatfield Experimental Farm in Pretoria, South Africa, is an exceptional case that has been providing maize yield and fertilizer trial dataset with 32 treatments since 1939. In collaboration with University of Pretoria, HarvestChoice facilitated the re-discovery of raw yield dataset from the trial to study the measured long-term yield variability.
For crop modeling researchers who are in need of finding soil profiles at regional-scale in Sub-Saharan Africa (SSA), this post gives a spatial dataset that delineates SSA into 588 units and corresponding soil profiles, based on the WISE v1.1 and HC27 soil profile databases.
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 facilitated developing an updated version of FCC using the Harmonized World Soil Database v1.1. This new dataset will play a key role in HarvestChoice's forthcoming flagship study on the biophysical/economic impact assessment of agricultural production constraints in Sub-Saharan Africa.