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

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dc.creatorTamene, Lulseged D.
dc.creatorWuletawu, Abera
dc.creatorLiben, Feyera Merga
dc.date2023-10
dc.date2023-10-25T12:30:10Z
dc.date2023-10-25T12:30:10Z
dc.date.accessioned2026-06-27T13:37:33Z
dc.descriptionA 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.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/132430
dc.identifier.urihttp://hdl.handle.net/123456789/65262
dc.languageen
dc.rightsOpen Access
dc.sourceTamene, L.; 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.
dc.subjectadvisory services
dc.subjectwheat
dc.subjectcrop forecasting
dc.subjectfarmers
dc.titleTailored, climate-informed and location-specific agro-advisory services in the highlands of Ethiopia increased smallholder farmers’ wheat grain yields and profitability
dc.typeCase Study

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