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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.

Climate-resilient soybean yield forecasting under agro-climatic variability using neural networks: A data-driven approach for sustainable agronomy

2026Next SustainabilityJournalOpen access

10.1016/j.nxsust.2026.100292 Full text0 citations

Authors

3 authors across 3 institutions in 1 country.

Bulus BaliFirst authorCorresponding
- Adamawa State University (NG)
Goni, Ibrahim
- Joseph Sarwuan Tarka University Makurdi (NG)
as printed: Ibrahim Goni
Aliyu U. JarengolSenior author
- The Federal Polytechnic, Ado-Ekiti (NG)

Fields

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

Climate change impacts on agriculturelevel 3 · 0.71
Soybean genetics and cultivationlevel 3 · 0.06
Greenhouse Technology and Climate Controllevel 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 · Next Sustainability · 0 citations
https://openalex.org/W7140213122

Climate-resilient soybean yield forecasting under agro-climatic variability using neural networks: A data-driven approach for sustainable agronomy · Sankore