A unified RT-DETR–Mask2Former framework for segmentation-guided plant leaf disease detection and classification in real-world agricultural environments
- DOI
- 10.3389/fpls.2026.1931819
- Published
- 2026-10-15
- Container
- Frontiers in Plant Science
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fpls.2026.1931819,
title = {A unified RT-DETR–Mask2Former framework for segmentation-guided plant leaf disease detection and classification in real-world agricultural environments},
author = {C H. Mohan Sai Kumar and Golthu Anusha and V. Dhilip Kumar and Oana Geman and Roxana Toderean and Mihaela Hnatiuc},
year = {2026},
journal = {Frontiers in Plant Science},
doi = {10.3389/fpls.2026.1931819},
url = {https://doi.org/10.3389/fpls.2026.1931819}
}RIS
TY - JOUR TI - A unified RT-DETR–Mask2Former framework for segmentation-guided plant leaf disease detection and classification in real-world agricultural environments AU - C H. Mohan Sai Kumar AU - Golthu Anusha AU - V. Dhilip Kumar AU - Oana Geman AU - Roxana Toderean AU - Mihaela Hnatiuc PY - 2026 JO - Frontiers in Plant Science DO - 10.3389/fpls.2026.1931819 UR - https://doi.org/10.3389/fpls.2026.1931819 ER -
APA
Kumar, C. H. M. S., Anusha, G., Kumar, V. D., Geman, O., Toderean, R., & Hnatiuc, M. (2026). A unified RT-DETR–Mask2Former framework for segmentation-guided plant leaf disease detection and classification in real-world agricultural environments. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2026.1931819
Source records
- crossref · retrieved 2026-11-10T10:42:49.345Z