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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.

Modeling Crop Yield Variability through Machine Learning

2026International Journal of Integrative ResearchJournalOpen access

10.59890/ijir.v4i2.142 Full text0 citations

Authors

6 authors.

Madumere Smart OnyemaechiFirst author
- Federal University of Technology Owerri (NG)
Uzoma Peter Ozioma
- Federal University of Technology Owerri (NG)
Ugo Chima
- Federal University of Technology Owerri (NG)
Agada Bob Chile
- Federal University of Technology Owerri (NG)
Odoemene .O Ijeoma
- Federal University of Technology Owerri (NG)
as printed: Odoemene. O Ijeoma
Ihim KingsleySenior author
- Federal University of Technology Owerri (NG)

Fields

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

Smart Agriculture and AIlevel 3 · 0.83
Remote Sensing in Agriculturelevel 3 · 0.04
Climate change impacts on agriculturelevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Integrative Research · 0 citations
https://openalex.org/W7133937795

Modeling Crop Yield Variability through Machine Learning · Sankore