Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

APPLICATION OF MACHINE LEARNING MODELS IN FORECASTING AGRICULTURAL PRODUCTIVITY IN NIGERIA

2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen access

10.5281/zenodo.22113118 Full text0 citations

Authors

3 authors across 2 institutions in 2 countries.

Mr. Aniekan Amos ThompsonFirst author
Oto-abasi Essien
- Akwa Ibom State University (NG)
Midighe UsohSenior author
- Akwa Ibom State University (NG)

Fields

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

Climate change impacts on agriculturelevel 3 · 0.09
Knowledge Management and Technologylevel 3 · 0.08
Forecasting Techniques and Applicationslevel 3 · 0.03

Sources

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

openalexseen September 9, 2026
2026 · Zenodo (CERN European Organization for Nuclear Research) · 0 citations
https://openalex.org/W7204234461

APPLICATION OF MACHINE LEARNING MODELS IN FORECASTING AGRICULTURAL PRODUCTIVITY IN NIGERIA · Sankore