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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.

Predicting the Chlorophyll Content of Maize over Phenotyping as a Proxy for Crop Health in Smallholder Farming Systems

2022Remote SensingJournalOpen access

10.3390/rs14030518 Full text83 citations

Authors

6 authors across 3 institutions in 2 countries.

Kiara BrewerFirst authorCorresponding
- University of KwaZulu-Natal (ZA)
Alistair Clulow
- University of KwaZulu-Natal (ZA)
Mbulisi Sibanda
- University of the Western Cape (ZA)
Shaeden Gokool
- University of KwaZulu-Natal (ZA)
Vivek Naiken
- University of KwaZulu-Natal (ZA)
Tafadzwanashe MabhaudhiSenior author
- University of KwaZulu-Natal (ZA)
- Water Resources Commission of Ghana (GH)

Fields

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

Remote Sensing in Agriculturelevel 3 · 1.00
Remote Sensing and LiDAR Applicationslevel 3 · 0.99
Land Use and Ecosystem Serviceslevel 3 · 0.99

Sources

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

openalexseen September 8, 2026
2022 · Remote Sensing · 83 citations
https://openalex.org/W4207058800

Predicting the Chlorophyll Content of Maize over Phenotyping as a Proxy for Crop Health in Smallholder Farming Systems · Sankore