Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Machine Learning Application in Horticulture and Prospects for Predicting Fresh Produce Losses and Waste: A Review

2024PlantsJournalOpen access

10.3390/plants13091200 Full text31 citations

Authors

4 authors across 3 institutions in 2 countries.

Ikechukwu Kingsley OparaFirst author
- Stellenbosch University (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
Date Palm Research Studieslevel 3 · 0.99
Spectroscopy and Chemometric Analyseslevel 3 · 0.98

Sources

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

openalexseen September 8, 2026
2024 · Plants · 31 citations
https://openalex.org/W4395671263

Machine Learning Application in Horticulture and Prospects for Predicting Fresh Produce Losses and Waste: A Review · Sankore