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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.

Application of machine learning in predicting fruit waste in a South African fresh produce wholesale market

2025Journal of Agriculture and Food ResearchJournalOpen access

10.1016/j.jafr.2025.102062 Full text5 citations

Authors

6 authors across 4 institutions in 3 countries.

Ikechukwu Kingsley OparaFirst author
- Stellenbosch University (ZA)
Douglas Chinenye Divine
Yardjouma Silue
- University of Johannesburg (ZA)
Umezuruike Linus Opara
- Stellenbosch University (ZA)
Jude A. Okolie
Olaniyi A. FawoleSenior authorCorresponding
- University of Johannesburg (ZA)
as printed: Olaniyi Amos Fawole

Fields

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

Smart Agriculture and AIlevel 3 · 0.99
Spectroscopy and Chemometric Analyseslevel 3 · 0.98
Food Supply Chain Traceabilitylevel 3 · 0.93

Sources

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

openalexseen September 8, 2026
2025 · Journal of Agriculture and Food Research · 5 citations
https://openalex.org/W4410768585

Application of machine learning in predicting fruit waste in a South African fresh produce wholesale market · Sankore