Sugarcane Bud Detection Using YOLOv5
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53082-1_17
Reference7 articles.
1. Kumar, N., Nagarathna, Flammini, F.: YOLO-based light-weight deep learning models for insect detection system with field adaption. Agriculture 13, 741 (2023)
2. Wang, A., Peng, T., Cao, H., Xu, Y., Wei, X., Cui, B.: TIA-YOLOv5: an improved YOLOv5 network for real-time detection of crop and weed in the field. Front. Plant Sci. 13, 1091655 (2022)
3. Lawal, O.M.: YOLOv5-LiNet: a lightweight network for fruits instance segmentation. PLoS ONE 18(3), e0282297 (2023)
4. Chen, Z., Cao, L., Wang, Q.: YOLOv5-Based Vehicle Detection Method for High-Resolution UAV Images. Elsevier, Hindawi Mobile Information Systems Volume (2022)
5. Meng, Y., Yea, C., Yu, S., Qin, J., Zhang, J., Shen, D.: Sugarcane node recognition technology based on wavelet analysis. IEEE Access Comput. Electron. Agric. 158, 68–78 (2021)
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