Lee, H.-G.; Shin, J.-Y.; Han, W.-T.; Kim, S.-B.; Kim, M.-J.; Kim, G.; Mo, C.
Interpretable Deep Learning for Varroa Mite Detection: Integrating Deblurring, Morphology-Preserving Preprocessing, and Explainability Analysis. Agronomy 2026, 16, 1292.
https://doi.org/10.3390/agronomy16131292
AMA Style
Lee H-G, Shin J-Y, Han W-T, Kim S-B, Kim M-J, Kim G, Mo C.
Interpretable Deep Learning for Varroa Mite Detection: Integrating Deblurring, Morphology-Preserving Preprocessing, and Explainability Analysis. Agronomy. 2026; 16(13):1292.
https://doi.org/10.3390/agronomy16131292
Chicago/Turabian Style
Lee, Hong-Gu, Jeong-Yong Shin, Woon-Tak Han, Su-Bae Kim, Min-Jee Kim, Giyoung Kim, and Changyeun Mo.
2026. "Interpretable Deep Learning for Varroa Mite Detection: Integrating Deblurring, Morphology-Preserving Preprocessing, and Explainability Analysis" Agronomy 16, no. 13: 1292.
https://doi.org/10.3390/agronomy16131292
APA Style
Lee, H.-G., Shin, J.-Y., Han, W.-T., Kim, S.-B., Kim, M.-J., 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