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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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A Hybrid Spatio-Temporal Transformer-LSTM Network for Explainable Crop Yield Prediction Using Multi-Source Remote Sensing in Arid African Regions

2026Journal of Future Artificial Intelligence and TechnologiesJournalOpen access

10.62411/faith.3048-3719-408 Full text0 citations

Authors

4 authors.

Johnson Bisi OluwagbemiFirst author
- McPherson University (NG)
Olabisi Josh-Falade
- McPherson University (NG)
Ayokunle John Tadema
- McPherson University (NG)
Ayobami MesioyeSenior author
- McPherson University (NG)
as printed: Ayobami Emmanuel Mesioye

Fields

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

Remote Sensing in Agriculturelevel 3 · 0.83
Smart Agriculture and AIlevel 3 · 0.05
Remote-Sensing Image Classificationlevel 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 · Journal of Future Artificial Intelligence and Technologies · 0 citations
https://openalex.org/W7202389787

A Hybrid Spatio-Temporal Transformer-LSTM Network for Explainable Crop Yield Prediction Using Multi-Source Remote Sensing in Arid African Regions · Sankore