An Edge AI and Mobile Sensing Framework for Real-Time Multi-Crop Disease Detection and Geospatial Surveillance in Smallholder Agricultural Systems

Idowu Olugbenga ADEWUMI, Nurudeen BAKARE, Akintayo AYOADE, Babajide Akanbi ADELEKAN, Olusegun OKESIJI, Fatimah Adeola OYEWUSI

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DOI: 10.21203/rs.3.rs-9901408/v1
Published: 2026-06-29
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Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-9901408/v1,
  title = {An Edge AI and Mobile Sensing Framework for Real-Time Multi-Crop Disease Detection and Geospatial Surveillance in Smallholder Agricultural Systems},
  author = {Idowu Olugbenga ADEWUMI and Nurudeen BAKARE and Akintayo AYOADE and Babajide Akanbi ADELEKAN and Olusegun OKESIJI and Fatimah Adeola OYEWUSI},
  year = {2026},
  doi = {10.21203/rs.3.rs-9901408/v1},
  url = {https://doi.org/10.21203/rs.3.rs-9901408/v1}
}

RIS

TY  - JOUR
TI  - An Edge AI and Mobile Sensing Framework for Real-Time Multi-Crop Disease Detection and Geospatial Surveillance in Smallholder Agricultural Systems
AU  - Idowu Olugbenga ADEWUMI
AU  - Nurudeen BAKARE
AU  - Akintayo AYOADE
AU  - Babajide Akanbi ADELEKAN
AU  - Olusegun OKESIJI
AU  - Fatimah Adeola OYEWUSI
PY  - 2026
DO  - 10.21203/rs.3.rs-9901408/v1
UR  - https://doi.org/10.21203/rs.3.rs-9901408/v1
ER  -

APA

ADEWUMI, I. O., BAKARE, N., AYOADE, A., ADELEKAN, B. A., OKESIJI, O., & OYEWUSI, F. A. (2026). An Edge AI and Mobile Sensing Framework for Real-Time Multi-Crop Disease Detection and Geospatial Surveillance in Smallholder Agricultural Systems. https://doi.org/10.21203/rs.3.rs-9901408/v1

Source records

crossref · retrieved 2026-11-10T13:17:22.858Z