Conference · 2026
Lightweight Convolutional Models for On-Device Crop Disease Detection (DEMO)
Abstract
DEMO publication — replace with real content. We evaluate compact convolutional architectures for classifying crop leaf diseases on low-cost smartphones, showing that pruned MobileNet variants retain 95% of full-model accuracy at a fraction of the computational cost.
Keywords
crop diseasemobile inferencemodel compression
Other publications from the same authors
Publication details
- Venue
- Proceedings of the DEMO International Conference on Applied Machine Learning
- Type
- Conference · 2026
- DOI
- 10.0000/demo.2026.001
- Citations
- 0 · via Crossref
- Associated project
- Crop Disease Detection from Leaf Imagery (DEMO)
- Research area
- Smart Agriculture
Cite this publication
Copy a ready-formatted citation in your preferred style.
APA
Mensah, D., Adeyemi, L., & Okafor, S. (2026). Lightweight Convolutional Models for On-Device Crop Disease Detection (DEMO). Proceedings of the DEMO International Conference on Applied Machine Learning. https://doi.org/10.0000/demo.2026.001
Harvard
Mensah, D., Adeyemi, L. and Okafor, S. (2026) 'Lightweight Convolutional Models for On-Device Crop Disease Detection (DEMO)', Proceedings of the DEMO International Conference on Applied Machine Learning. doi: 10.0000/demo.2026.001.
IEEE
D. Mensah, L. Adeyemi, and S. Okafor, "Lightweight Convolutional Models for On-Device Crop Disease Detection (DEMO)," Proceedings of the DEMO International Conference on Applied Machine Learning, 2026. doi: 10.0000/demo.2026.001.
Vancouver
Mensah D, Adeyemi L, Okafor S. Lightweight Convolutional Models for On-Device Crop Disease Detection (DEMO). Proceedings of the DEMO International Conference on Applied Machine Learning. 2026. doi: 10.0000/demo.2026.001.
MLA
Mensah, Daniel, et al.. "Lightweight Convolutional Models for On-Device Crop Disease Detection (DEMO)." Proceedings of the DEMO International Conference on Applied Machine Learning, 2026. https://doi.org/10.0000/demo.2026.001.
Chicago
Mensah, D., Adeyemi, L., Okafor, S.. "Lightweight Convolutional Models for On-Device Crop Disease Detection (DEMO)." Proceedings of the DEMO International Conference on Applied Machine Learning (2026). https://doi.org/10.0000/demo.2026.001.
BibTeX
@inproceedings{mensah2026lightweight, title={Lightweight Convolutional Models for On-Device Crop Disease Detection}, author={Mensah, Daniel and Adeyemi, Lola and Okafor, Sarah}, booktitle={Proc. DEMO Int. Conf. on Applied Machine Learning}, year={2026} }