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.

Dec 6, 2010 by Jawoo Koo

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.

How to find a right soil profile for this grid cell?

Sep 17, 2010 by Jawoo Koo

Many of HarvestChoice spatial datasets are organized and released on 10-km grids. To make spatial analyses easier for researchers (even without having access to GIS platform), we put data layers from multiple themes together in one denormalized big table. This post describes the methodology and presents a prototype.

Layered information on a grid cell

Aug 12, 2010 by Jawoo Koo

As a quick demonstration to estimate crop yield levels at regional-scale with various management assumptions, this post describes how crop systems models can be used to assess yield gap of rainfed maize due to the limited supply of soil nitrogen. This methodology can help researchers to find what is the most critical factor that limits crop yield productivity in a given environment condition and how to address the constraint.

Aug 11, 2010 by Jawoo Koo

As an appendix to the Harmonized World Soil Database (HWSD) v1.1, seven soil indicators have been published globally, at 5 arc-minute (10 km) resolution.

Soil

Aug 10, 2010 by Jawoo Koo

By modeling the decomposition of soil organic matter dynamics, crop systems models can simulate the effects of soil nutrient depletion under low-input extractive field management practices, as well as soil carbon sequestration under regenerative management practices.

Maize

Aug 10, 2010 by Jawoo Koo

Many of HarvestChoice’s spatial analyses are done using raster datasets at various spatial resolutions (e.g., 1 km, 10 km, or 50 km grids).

HCADMIN 1.0

Aug 4, 2010 by Jawoo Koo

Farming entails a great deal of choices and uncertainties. From season to season, weather varies, price fluctuates, soil degrades, pest damages, and climate changes. Farmers everywhere must cope with these uncertainties. Throughout the history of agriculture, many options have been developed to help manage these risks, increase yields, increase efficiency, and, more recently, promote the sustainability of the overall system.