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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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An AI-based geospatial framework for farmland suitability assessment in the Omo sub-basin, Ethiopia

2026Journal of Environmental ManagementJournalOpen access

10.1016/j.jenvman.2026.130798 Full text0 citations

Authors

9 authors across 6 institutions in 5 countries.

Kueshi Sémanou DahanFirst authorCorresponding
- University for Development Studies (GH)
Girma Gezimu Gebre
Mohammedawel Jeneto Mohammed
Saidaqa Ayar
Pulakesh Pradhan
Assefa Ataro Ambushe
- Government of Ethiopia (ET)
Bogale Lencha Teka
- Government of Ethiopia (ET)
Stefan Sieber
as printed: Sieber Stefan
Katharina LöhrSenior author
as printed: Löhr Katharina

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Soil and Land Suitability Analysislevel 3 · 0.96
Groundwater and Watershed Analysislevel 3 · 0.01
Indigenous Knowledge Systems and Agriculturelevel 3 · 0.01

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 10, 2026
2026 · Journal of Environmental Management · 0 citations
https://openalex.org/W7207624634

An AI-based geospatial framework for farmland suitability assessment in the Omo sub-basin, Ethiopia · Sankore