Apr 1, 2015 by Carlo Azzarri

Malnutrition in children and adults results from a number of factors related to the availability and accessibility of quality food as well as the presence of infectious diseases. As such, the spatial relationship between agricultural systems (farming and livestock) and nutritional and dietary outcomes in human population can provide valuable information to aid in the design of appropriate policy interventions.

Jul 9, 2013 by Kate Sebastian

Last March at the Africa Agriculture GIS Week in Addis Ababa, Ethiopia, HarvestChoice team member Kate Sebastian presented the not-so-sneak preview of the Atlas of African Agriculture Research and Development.

Apr 24, 2013 by Beliyou Haile

If there is one consensus in agriculture development it is the idea that crops will need to produce more from existing agricultural land in the coming decades. In other words, agriculture will need to be intensified.

May 22, 2012 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.

Aug 31, 2011 by Jawoo Koo

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.

MAIZE AREA WITH > 1 T/HA IN MAJORITY OF YEARS UNDER LOW-INPUT (GREEN AREAS

Feb 4, 2011 by Jawoo Koo

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.

Word cloud of crops that respondents modeled

Dec 22, 2010 by Jawoo Koo

How to use the weather generator in the DSSAT Crop Systems Model for climate change studies, and what should I know? Good question.

Question

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.