Bridging the performance–efficiency gap: a resource-efficient hybrid DL-ML framework for jackfruit disease detection
- DOI
- 10.3389/frai.2026.1884567
- Published
- 2026-10-06
- Container
- Frontiers in Artificial Intelligence
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1884567,
title = {Bridging the performance–efficiency gap: a resource-efficient hybrid DL-ML framework for jackfruit disease detection},
author = {Rittik Chandra Das Turjy and Fahmid Al Farid and Md. Hasan Imam Bijoy and Sarbajit Paul Bappy and Amir Sohel and Jia Uddin and Hezerul Bin Abdul Karim},
year = {2026},
journal = {Frontiers in Artificial Intelligence},
doi = {10.3389/frai.2026.1884567},
url = {https://doi.org/10.3389/frai.2026.1884567}
}RIS
TY - JOUR TI - Bridging the performance–efficiency gap: a resource-efficient hybrid DL-ML framework for jackfruit disease detection AU - Rittik Chandra Das Turjy AU - Fahmid Al Farid AU - Md. Hasan Imam Bijoy AU - Sarbajit Paul Bappy AU - Amir Sohel AU - Jia Uddin AU - Hezerul Bin Abdul Karim PY - 2026 JO - Frontiers in Artificial Intelligence DO - 10.3389/frai.2026.1884567 UR - https://doi.org/10.3389/frai.2026.1884567 ER -
APA
Turjy, R. C. D., Farid, F. A., Bijoy, M. H. I., Bappy, S. P., Sohel, A., Uddin, J., & Karim, H. B. A. (2026). Bridging the performance–efficiency gap: a resource-efficient hybrid DL-ML framework for jackfruit disease detection. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1884567
Source records
- crossref · retrieved 2026-11-10T11:29:35.555Z