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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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Multi-Source Data Integration and IoT-Based Sensing for Crop Yield Modelling and Optimisation

2025Publication

10.1109/smartcomp65954.2025.00094 Full text2 citations

Authors

10 authors across 3 institutions in 3 countries.

Temitope OdedeyiFirst author
Olalekan Kolawole
- International Institute of Tropical Agriculture (NG)
Olalekan Kolawole
Olalekan Kolawole
- International Institute of Tropical Agriculture (NG)
Chike Ugoji
- International Institute of Tropical Agriculture (NG)
Toye Ayankanmi
- International Institute of Tropical Agriculture (NG)
Oziegbe Okhuoya
- International Institute of Tropical Agriculture (NG)
Ismail Rabbit
- International Institute of Tropical Agriculture (NG)
Kwaku Onwona-Hwesofour Asante
- Council for Scientific and Industrial Research (GH)
Izzat DarwazehSenior author

Fields

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

Smart Agriculture and AIlevel 3 · 0.94

Sources

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

openalexseen September 9, 2026
2025 · 2 citations
https://openalex.org/W4411996620

Multi-Source Data Integration and IoT-Based Sensing for Crop Yield Modelling and Optimisation · Sankore