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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.

REAL-TIME IDENTIFICATION OF MAIZE PLANT AND WEEDS USING MACHINE LEARNING MODEL IMPLEMENTED VIA YOLO v5

2024FULafia Journal of Science and TechnologyJournalOpen access

10.62050/fjst2024.v8n2.346 Full text0 citations

Authors

5 authors.

Samuel OwoweyeFirst author
- Federal University of Agriculture, Abeokuta (NG)
Folasade Durodola
- Federal University of Agriculture, Abeokuta (NG)
Taofeek Adetoro
- Federal University of Agriculture, Abeokuta (NG)
Babatunde Bisiriyu
- Federal University of Agriculture, Abeokuta (NG)
Mahrufdeen AdegbenroSenior author
- Federal University of Agriculture, Abeokuta (NG)

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
2024 · FULafia Journal of Science and Technology · 0 citations
https://openalex.org/W4403987980

REAL-TIME IDENTIFICATION OF MAIZE PLANT AND WEEDS USING MACHINE LEARNING MODEL IMPLEMENTED VIA YOLO v5 · Sankore