Lee, H., Shin, J., Han, W., Kim, S., Kim, M., Kim, G., & Mo, C. (2026). Interpretable Deep Learning for Varroa Mite Detection: Integrating Deblurring, Morphology-Preserving Preprocessing, and Explainability Analysis. Agronomy, 16(13), 1292. https://doi.org/10.3390/agronomy16131292
Chicago Style (17th ed.) CitationLee, Hong-Gu, Jeong-Yong Shin, Woon-Tak Han, Su-Bae Kim, Min-Jee Kim, Giyoung Kim, and Changyeun Mo. "Interpretable Deep Learning for Varroa Mite Detection: Integrating Deblurring, Morphology-Preserving Preprocessing, and Explainability Analysis." Agronomy 16, no. 13 (2026): 1292. https://doi.org/10.3390/agronomy16131292.
MLA (9th ed.) CitationLee, Hong-Gu, et al. "Interpretable Deep Learning for Varroa Mite Detection: Integrating Deblurring, Morphology-Preserving Preprocessing, and Explainability Analysis." Agronomy, vol. 16, no. 13, 2026, p. 1292, https://doi.org/10.3390/agronomy16131292.