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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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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Random forest machine learning for maize yield and agronomic efficiency prediction in Ghana

2024HeliyonJournalOpen access

10.1016/j.heliyon.2024.e37065 Full text55 citations

Authors

5 authors across 6 institutions in 4 countries.

Eric AsamoahFirst authorCorresponding
- Université Mohammed VI Polytechnique (MA)
- Council for Scientific and Industrial Research (GH)
Gerard B.M. Heuvelink
Ikram Chairi
- Université Mohammed VI Polytechnique (MA)
Prem S. Bindraban
Vincent LogahSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Smart Agriculture and AIlevel 3 · 0.99
Crop Yield and Soil Fertilitylevel 3 · 0.91

Sources

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

openalexseen September 9, 2026
2024 · Heliyon · 55 citations
https://openalex.org/W4401944407

Random forest machine learning for maize yield and agronomic efficiency prediction in Ghana · Sankore