Bridging the performance–efficiency gap: a resource-efficient hybrid DL-ML framework for jackfruit disease detection

Rittik Chandra Das Turjy, Fahmid Al Farid, Md. Hasan Imam Bijoy, Sarbajit Paul Bappy, Amir Sohel, Jia Uddin, Hezerul Bin Abdul Karim

Open source

DOI
10.3389/frai.2026.1884567
Published
2026-10-06
Container
Frontiers in Artificial Intelligence
Publisher
Frontiers Media SA
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

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