A multi-scale supervised contrastive framework for cross-domain soybean disease classification using leaf and UAV imagery.
- DOI
- 10.1038/s41598-026-56162-9
- Published
- 2026 Jun 2
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-56162-9,
title = {A multi-scale supervised contrastive framework for cross-domain soybean disease classification using leaf and UAV imagery.},
author = {Mohanty SS and Maheshwari V and Aithal PK and Jathanna RD},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-56162-9},
url = {https://doi.org/10.1038/s41598-026-56162-9}
}RIS
TY - JOUR TI - A multi-scale supervised contrastive framework for cross-domain soybean disease classification using leaf and UAV imagery. AU - Mohanty SS AU - Maheshwari V AU - Aithal PK AU - Jathanna RD PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-56162-9 UR - https://doi.org/10.1038/s41598-026-56162-9 ER -
APA
SS, M., V, M., PK, A., & RD, J. (2026). A multi-scale supervised contrastive framework for cross-domain soybean disease classification using leaf and UAV imagery.. Scientific reports. https://doi.org/10.1038/s41598-026-56162-9
Source records
- pubmed · retrieved 2026-09-25T11:59:32.832Z