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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.

Detection of Fruit Ripeness and Defectiveness Using Convolutional Neural Networks

2024Information Dynamics and ApplicationsJournalOpen access

10.56578/ida030304 Full text5 citations

Authors

6 authors across 5 institutions in 2 countries.

Joshua S. MommohFirst author
- Irrua Specialist Teaching Hospital (NG)
James L. Obetta
Samuel Onuche John
- Nigerian Defence Academy (NG)
as printed: Samuel N. John
Kennedy OkokpujieCorresponding
- Covenant University (NG)
- Lagos State University (NG)
Osemwegie N. Omoruyi
- Covenant University (NG)
Ayokunle AwelewaSenior author
- Covenant University (NG)
as printed: Ayokunle A. Awelewa

Fields

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

Spectroscopy and Chemometric Analyseslevel 3 · 0.98
Smart Agriculture and AIlevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2024 · Information Dynamics and Applications · 5 citations
https://openalex.org/W4405261871

Detection of Fruit Ripeness and Defectiveness Using Convolutional Neural Networks · Sankore