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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.

Assessing Image Classification Accuracy with Principal Component Analysis Algorithm Case Study: Odeda LGA of Ogun State, Southwest Nigeria

2022Journal of applied science and environmental managementJournalOpen access

10.4314/jasem.v26i5.11 Full text1 citations

Authors

5 authors.

O. J. AigbokhanFirst author
- Forestry Research Institute of Nigeria (NG)
N. E. Essien
- Forestry Research Institute of Nigeria (NG)
O. M. Ogoliegbune
- Forestry Research Institute of Nigeria (NG)
O. S. Afolabi
- Forestry Research Institute of Nigeria (NG)
Ibrahim AdamuSenior author
as printed: I. S. Adamu

Fields

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

Remote-Sensing Image Classificationlevel 3 · 0.95
Geochemistry and Geologic Mappinglevel 3 · 0.93

Sources

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

openalexseen September 9, 2026
2022 · Journal of applied science and environmental management · 1 citations
https://openalex.org/W4283260413

Assessing Image Classification Accuracy with Principal Component Analysis Algorithm Case Study: Odeda LGA of Ogun State, Southwest Nigeria · Sankore