The annual ICT4D Conferences have proven to be an invaluable opportunity for NGOs, private sector organizations, universities, governmental agencies and foundations to share their experience in using ICT to increase the impact of development programs and to learn from each other.  In 2016, 715 individuals from 76 countries and 301 private sector and public sector and civil society explored the ways to harness the full power of digital solutions to achieve the United Nations’ Sustainable Development Goals.  Our thanks to Accenture, Catholic Relief Services, Esri, Hewlett Packard Enterprise, iMerit Technology Services, Inmarsat, IS Solutions, Making All Voices Count, Mercy Corps, Microsoft, NetHope, Oxfam, Pandexio, Qualcom Wireless Reach, RTI International, SimbaNet and World Vision for making that possible.

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Wednesday, May 18 • 14:55 - 16:00
Identifying Recommendation Domains for Scaling-Out Improved Crop Varieties LIMITED

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Limited Capacity seats available

More than 30% of population in Saharan Africa is undernourished and the demand for food is projected to increase due to high population growth rate. Recent agronomic research has generated innovative technologies to increase food production and quality. Development programs and extension services has invested significant effort to promote adoption and scaling out of best-bet agronomic technologies. Achievement of the potential impacts of these innovative technologies is hindered by low adoption by farmers. Proper targeting of sites to scale out agricultural technologies is a key determinant of the rate of adoption. Targeting locations with similar biophysical and socio-economic characteristics significantly increase probability of adoption. Recommendation domains (RDs) are homogeneous areas with similar biophysical and socio-economic characteristics. We demonstrate the potential of geospatial analysis in identifying RDs for scaling best-bet agronomic technologies. We use GIS and remote sensing generated data to generate homogeneous clusters that exhibit similar biophysical and socio-economic characteristics in the FtF zone in Tanzania. Results identifies 20 sustainable recommendation domains (SRDs) and the main bio-socio-economic gradients that discriminate them. These SRDs were generated after excluding critical ecosystems and non-agricultural land. We propose an Impact Based Spatial Targeting Index (IBSTI) as an evidence-based tool for guiding spatial targeting of agricultural technologies based on their estimated potential impact(s). The utilized data-driven clustering method is suitable for identifying SRDs in regions with limited technology trials data but can be replicated in different ecologies and technologies. Results demonstrate the potential of geospatial tools in generating evidence-based policies for scaling-out innovative agricultural technologies.

Key words: Agricultural technologies, cluster analysis, Feed the Future, Impact Based Spatial Targeting Index, GIS, recommendation domains, scaling out, spatial targeting, Tanzania

avatar for Francis Muthoni

Francis Muthoni

GIS Specialist, IITA
Francis is a GIS Specialist at the International Institute of Tropical Agriculture (IITA) based in Arusha, Tanzania. Francis serves in the USAID funded Africa RISING project. Francis has undertaken geo-spatial analysis to generate recommendation domains for scaling out best-bet agronomic... Read More →

Wednesday May 18, 2016 14:55 - 16:00 EAT
Ivory - Partition 1

Attendees (6)