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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.

Agricultural Robot-Centered Recognition of Early-Developmental Pest Stage Based on Deep Learning: A Case Study on Fall Armyworm (Spodoptera frugiperda)

2023SensorsJournalOpen access

10.3390/s23063147 Full text23 citations

Authors

5 authors across 5 institutions in 3 countries.

Hammed ObasekoreFirst author
Mohamed Fanni
- Egypt-Japan University of Science and Technology (EG)
- Mansoura University (EG)
Sabah Mohamed Ahmed
- Egypt-Japan University of Science and Technology (EG)
- Assiut University (EG)
Victor Parque
- Egypt-Japan University of Science and Technology (EG)
Bo-Yeong KangSenior authorCorresponding

Fields

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

Smart Agriculture and AIlevel 3 · 1.00
Date Palm Research Studieslevel 3 · 0.99
Insect Resistance and Geneticslevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2023 · Sensors · 23 citations
https://openalex.org/W4327568706

Agricultural Robot-Centered Recognition of Early-Developmental Pest Stage Based on Deep Learning: A Case Study on Fall Armyworm (Spodoptera frugiperda) · Sankore