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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.

Prediction of lead in agricultural soils: An integrated approach using machine learning, terrain attributes and reflectance spectra

2024PedosphereJournal

10.1016/j.pedsph.2024.01.002 Full text8 citations

Authors

7 authors across 7 institutions in 5 countries.

Prince Chapman AgyemanFirst authorCorresponding
as printed: Prince Chapman AGYEMAN
Kingsley JOHN
Ndiye Michael KEBONYE
Vahid KHOSRAVI
Luboš BORŮVKA
Radim VAŠÁT
Charles Mario BoatengSenior author
- University of Ghana (GH)
as printed: Charles Mario BOATENG

Fields

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

Soil Geostatistics and Mappinglevel 3 · 1.00
Heavy metals in environmentlevel 3 · 0.99
Geochemistry and Geologic Mappinglevel 3 · 0.98

Sources

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

openalexseen September 5, 2026
2024 · Pedosphere · 8 citations
https://openalex.org/W4391043080

Prediction of lead in agricultural soils: An integrated approach using machine learning, terrain attributes and reflectance spectra · Sankore