Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Hybrid attention-based deep learning framework for potato leaf blight disease detection using CNN and fractal net
Related
- HECA-MobileNet: an explainable lightweight attention-based deep learning framework for custard apple disease detection
- ConvGeM-next: a deep learning framework for plant disease detection
- LeafXNet: A Lightweight Explainable Model With Integrated Attention Mechanism for Fruit Leaf Disease Detection
- YOLO-CBNet: A robust attention-enhanced detection framework for underwater fish recognition in aquaculture environments
- Hybrid local–global vision transformer framework for robust plant disease detection in precision agriculture
BibTeX
@article{jain2026hybrid,
title = {{Hybrid attention-based deep learning framework for potato leaf blight disease detection using CNN and fractal net}},
author = {Achin Jain and Rupal Gupta and Arvind Panwar and Puneet Singh Lamba and Harsh Taneja and Hamidreza Namazi and Ondrej Krejcar and Nadiya Khrypunova},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-77521-6},
url = {https://www.nature.com/articles/s41598-026-77521-6},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Hybrid attention-based deep learning framework for potato leaf blight disease detection using CNN and fractal net
AU - Achin Jain
AU - Rupal Gupta
AU - Arvind Panwar
AU - Puneet Singh Lamba
AU - Harsh Taneja
AU - Hamidreza Namazi
AU - Ondrej Krejcar
AU - Nadiya Khrypunova
PY - 2026
DA - 2026/10/28
JO - Scientific Reports
DO - 10.1038/s41598-026-77521-6
UR - https://www.nature.com/articles/s41598-026-77521-6
SN - 2045-2322
ER -