Case Study

Tailored, climate-informed and location-specific agro-advisory services in the highlands of Ethiopia increased smallholder farmers’ wheat grain yields and profitability

author(s)

Lulseged, Tamene

themes
  • Multifunctional landscapes
regions
  • Ethiopia
original file download
full citation

Lulseged, T.; Wuletawu, A.; Liben, F.M. (2023) Tailored, climate-informed and location-specific agro-advisory services in the highlands of Ethiopia increased smallholder farmers’ wheat grain yields and profitability. Reporting 2022 evidence, study 4717. Rome (Italy): Bioversity International; Cali (Colombia): CIAT. 3 p.

A location-specific, tailored, season-smart agro-advisory decision support tool (DST) in the Highlands of Ethiopia increased wheat yields of smallholder farmers by up to 25% with an average partial profitability of USD 600 per ha per season. The data-driven DST was developed by integrating over 25,000 crop responses to fertilizer application datasets and corresponding biophysical co-variants, using machine learning algorithms. Currently, the DST is being piloted across the highlands of Ethiopia. Documented here, as part of INIT EIA Excellence in Agronomy.