ResMDCL-PDM: An IoT-Enabled Multi-Task Deep Learning Framework for Precision Pest and Disease Management in Maize and Rice Production
- DOI
- 10.21203/rs.3.rs-10349113/v1
- Published
- 2026-07-28
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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
Source records
- europe-pmc · retrieved 2026-09-26T06:05:11.979Z