A hybrid deep learning model approach for automated detection and classification of cassava leaf diseases.
- DOI
- 10.1038/s41598-025-90646-4
- Published
- 2025 Feb 27
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-90646-4,
title = {A hybrid deep learning model approach for automated detection and classification of cassava leaf diseases.},
author = {Sambasivam G and Prabu Kanna G and Chauhan MS and Raja P and Kumar Y},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-90646-4},
url = {https://doi.org/10.1038/s41598-025-90646-4}
}RIS
TY - JOUR TI - A hybrid deep learning model approach for automated detection and classification of cassava leaf diseases. AU - Sambasivam G AU - Prabu Kanna G AU - Chauhan MS AU - Raja P AU - Kumar Y PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-90646-4 UR - https://doi.org/10.1038/s41598-025-90646-4 ER -
APA
G, S., G, P. K., MS, C., P, R., & Y, K. (2025). A hybrid deep learning model approach for automated detection and classification of cassava leaf diseases.. Scientific reports. https://doi.org/10.1038/s41598-025-90646-4
Source records
- pubmed · retrieved 2026-09-25T11:37:06.535Z