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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.

An Integrated Feedforward Neural Network for Categorical Prediction of Greenhouse Tomato Yield under Nigeria’s Climatic, Soil, and Agronomic Parameters

2025Indonesian Journal of Computer ScienceJournalOpen access

10.33022/ijcs.v14i6.5029 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Idara JamesFirst author
- Akwa Ibom State University (NG)
Ubon Ibanga
- Akwa Ibom State University (NG)
Ifreke Udoeka
- Akwa Ibom State University (NG)
Doris G. AsuquoSenior author
- Akwa Ibom State University (NG)
- Akwa Ibom State College Of Education (NG)
as printed: Doris Asuquo

Fields

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

Greenhouse Technology and Climate Controllevel 3 · 0.60
Smart Agriculture and AIlevel 3 · 0.24
Hydrological Forecasting Using AIlevel 3 · 0.03

Sources

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

openalexseen September 9, 2026
2025 · Indonesian Journal of Computer Science · 0 citations
https://openalex.org/W7117967697

An Integrated Feedforward Neural Network for Categorical Prediction of Greenhouse Tomato Yield under Nigeria’s Climatic, Soil, and Agronomic Parameters · Sankore