Poster prepared by Francis Muthoni for the Africa RISING ESA Project Review and Planning Meeting, Lilongwe, Malawi, 3–5 October 2018.

1. Geospatial tools to guide targeting of technologies
Francis Muthoni
International Institute of Tropical Agriculture
Challenges & Study objective
 Sustainable intensification (SI) technologies are suited for specific
biophysical & socio-economic context
 Knowledge on spatial distribution of optimal conditions for
scaling technological options beyond the trial sites is lacking
Objectives
 Generating recommendations domains for sustainable
intensification technological packages
 Establish regional relevance of Africa RISING technologies by
mapping zones with relatively similar biophysical and socio-
economic context
 Spatial monitoring of implementation of Africa RISING
technological packages (What is implemented where by who?)
This poster is licensed for use under the Creative Commons Attribution 4.0 International Licence.
September 2018
We thank farmers and local partners in Africa RISING sites for their contributions to this work. We also acknowledge the
support of all donors which globally support the work of the CGIAR centers and their partners through their
contributions to the CGIAR system
Key results
 Mapped locations of AR- technologies for spatial monitoring (Fig i)
 Mapped zones experiencing significant increase or decrease in
rainfall over ESA region (7 countries) for the last 37 years (Fig. ii).
The generated rainfall trends and variability index useful for
monitoring changes in agricultural potential to guide spatial
targeting of appropriate climate smart technologies.
 Generated spatial indices to guide targeting of maize varieties and
inorganic fertilizers i.e. Extrapolation suitability index (ESI; Fig iii)
and Impact Based Spatial Targeting Index (IBSTI).
 Collated a geo-database of gridded biophysical & socio-economic
data such as rainfall, temperature, access to markets
Proposals for the future
 Map suitability of technological options over the ESA
region using geo-reference agronomic data from field
trials and remote sensing data. Partners will identify
validated technologies that are ready for scaling and
provide evidential variables showing optimal
biophysical and socio-economic conditions for scaling.
Spatial analysis will be conducted to identify potential
suitable areas for scaling in wider ESA region.
 Design a web-based targeting tool to be used by
development partners and extension agents for
delineating suitable sites for specific technologies
mm/yr-1
Fig ii. Spatial-temporal trends of annual rainfall (mm yr-1) over ESA countries. Blue ctones shows
increasing trends while red tones shows increasing trend
Fig33 3345567iii. Extrapolation suitability index (ESI) for SC719 maize variety and YaraMilla-
Cereal and YaraBela-Sulfan fertilizers in Southern Tanzania. Suitability decreases with increasing
ESI value
Fig. i Spatial distribution of Africa RISING research and scaling sites in ESA region
Partners