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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.

Comparative Performance Analysis of YOLOv8Model and Traditional Machine Learning Models for Maize Leaf Disease Detection

2024KASU Journal of Computer ScienceJournalOpen access

10.47514/kjcs/2024.1.2.008 Full text0 citations

Authors

7 authors across 3 institutions in 1 country.

Ariwa, R. N.First author
as printed: Rosemary Ngozi Ariwa
J. B. Agbogun
as printed: Joshua Babatunde Agbogun
Monday J. Abdullahi
- Kaduna Polytechnic (NG)
as printed: Monday Jubrin Abdullahi
Temidayo Oluwatosin Omotehinwa
- Federal University Otuoke (NG)
Bethel Ugochukwu Nnamani
Daniel Gabriel Zhetu
Umar Gambo AbubakarSenior author
- Taraba State University (NG)

Fields

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

Smart Agriculture and AIlevel 3 · 0.99
Spectroscopy and Chemometric Analyseslevel 3 · 0.92

Sources

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

openalexseen September 9, 2026
2024 · KASU Journal of Computer Science · 0 citations
https://openalex.org/W4402443151

Comparative Performance Analysis of YOLOv8Model and Traditional Machine Learning Models for Maize Leaf Disease Detection · Sankore