GIS generated recommendation domains to scale improved crop varieties in Tanzania
Recent agronomic research has generated innovative sustainable intensification technologies for increase food production while conserving natural resources. Development programs and extension services have invested significant effort to promote adoption of best-bet intensification technologies. However, the achievement of the much needed impact at scale with these improved technologies has been often hindered by low adoption by farmers.Proper targeting of sites to scale out agricultural technologies is a key determinant of the subsequent rate of adoption. Scaling technologies in locations with similar biophysical and socio-economic characteristics significantly increase probability of adoption. Such similar locations are referred to recommendation domains (RDs).
This poster presents a geospatial framework for delineating RDs for crop varieties which are part of the Africa RISING technology packages.The framework is therefore an evidence-based tool for guiding development and extension agencies on spatial targeting of sustainable intensification technologies to achieve maximum impact from limited resources.
CGSpace record: http://hdl.handle.net/10568/78113