APA (7th ed.) Citation

H, G., IS, R., MZ, H., MMR, E., S, K., & M, M. (2026). TumorSageNet CNN hybrid architecture enables accurate detection of mango leaf pathologies. Scientific reports, 16(1), . https://doi.org/10.1038/s41598-026-40944-2

Chicago Style (17th ed.) Citation

H, Ghosh, Rahat IS, Hossain MZ, Emon MMR, Kant S, and Maniruzzaman M. "TumorSageNet CNN Hybrid Architecture Enables Accurate Detection of Mango Leaf Pathologies." Scientific Reports 16, no. 1 (2026). https://doi.org/10.1038/s41598-026-40944-2.

MLA (9th ed.) Citation

H, Ghosh, et al. "TumorSageNet CNN Hybrid Architecture Enables Accurate Detection of Mango Leaf Pathologies." Scientific Reports, vol. 16, no. 1, 2026, https://doi.org/10.1038/s41598-026-40944-2.