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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.

Optimizing Machine Learning Models for Soil Fertility Analysis: Insights from Feature Engineering and Data Localization

2025Gazi University Journal of Science Part A Engineering and InnovationJournalOpen access

10.54287/gujsa.1605587 Full text8 citations

Authors

6 authors across 2 institutions in 2 countries.

Charles Onyeka NwamekweFirst author
- Nnamdi Azikiwe University (NG)
Nnamdi Vitalis, Ewuzie
- Nnamdi Azikiwe University (NG)
C. Okpala
- Nnamdi Azikiwe University (NG)
Okechukwu Chiedu Ezeanyim
- Nnamdi Azikiwe University (NG)
Chibuzo Victoria Nwabueze
Emeka Celestine NwabunwanneSenior author
- Nnamdi Azikiwe University (NG)

Fields

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

Soil Geostatistics and Mappinglevel 3 · 0.78
Soil and Land Suitability Analysislevel 3 · 0.73
Smart Agriculture and AIlevel 3 · 0.68

Sources

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

openalexseen September 9, 2026
2025 · Gazi University Journal of Science Part A Engineering and Innovation · 8 citations
https://openalex.org/W4408855682

Optimizing Machine Learning Models for Soil Fertility Analysis: Insights from Feature Engineering and Data Localization · Sankore