ResMDCL-PDM: An IoT-Enabled Multi-Task Deep Learning Framework for Precision Pest and Disease Management in Maize and Rice Production

Tobun-Badru W, Sodiya AS, Abayomi-Alli A, Afolabi CG.

Open source

DOI
10.21203/rs.3.rs-10349113/v1
Published
2026-07-28
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Publisher
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Open access
no

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BibTeX

@article{allodium:10.21203/rs.3.rs-10349113/v1,
  title = {ResMDCL-PDM: An IoT-Enabled Multi-Task Deep Learning Framework for Precision Pest and Disease Management in Maize and Rice Production},
  author = {Tobun-Badru W and  Sodiya AS and  Abayomi-Alli A and  Afolabi CG.},
  year = {2026},
  doi = {10.21203/rs.3.rs-10349113/v1},
  url = {https://doi.org/10.21203/rs.3.rs-10349113/v1}
}

RIS

TY  - JOUR
TI  - ResMDCL-PDM: An IoT-Enabled Multi-Task Deep Learning Framework for Precision Pest and Disease Management in Maize and Rice Production
AU  - Tobun-Badru W
AU  -  Sodiya AS
AU  -  Abayomi-Alli A
AU  -  Afolabi CG.
PY  - 2026
DO  - 10.21203/rs.3.rs-10349113/v1
UR  - https://doi.org/10.21203/rs.3.rs-10349113/v1
ER  - 

APA

W, T., AS, S., A, A., & CG., A. (2026). ResMDCL-PDM: An IoT-Enabled Multi-Task Deep Learning Framework for Precision Pest and Disease Management in Maize and Rice Production. https://doi.org/10.21203/rs.3.rs-10349113/v1

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