Cite
Sensitivity examination of YOLOv4 regarding test image distortion and training dataset attribute for apple flower bud classification
MLA
Wenan Yuan, et al. “Sensitivity Examination of YOLOv4 Regarding Test Image Distortion and Training Dataset Attribute for Apple Flower Bud Classification.” International Journal of Remote Sensing, vol. 43, Apr. 2022, pp. 3106–30. EBSCOhost, https://doi.org/10.1080/01431161.2022.2085069.
APA
Wenan Yuan, Daeun Choi, Dimitrios Bolkas, Paul Heinz Heinemann, & Long He. (2022). Sensitivity examination of YOLOv4 regarding test image distortion and training dataset attribute for apple flower bud classification. International Journal of Remote Sensing, 43, 3106–3130. https://doi.org/10.1080/01431161.2022.2085069
Chicago
Wenan Yuan, Daeun Choi, Dimitrios Bolkas, Paul Heinz Heinemann, and Long He. 2022. “Sensitivity Examination of YOLOv4 Regarding Test Image Distortion and Training Dataset Attribute for Apple Flower Bud Classification.” International Journal of Remote Sensing 43 (April): 3106–30. doi:10.1080/01431161.2022.2085069.