Publisher
Springer Nature Switzerland
Reference7 articles.
1. Guang, C., Shang, Y.: Transformer for tree counting in areal images. Remote Sens. 14, 1–16 (2022)
2. Kshitij, N.N., et al.: Modified YOLOv4 for real-time coconut trees detection from an unmanned aerial vehicle. Research Square, pp. 1–19 (2021)
3. Youliang, C., et al.: An object detection method for bayberry trees based on an improved YOLO algorithm. Int. J. Digit. Earth 16(1), 781–805 (2023)
4. Ochoa, K.S., Guo, Z.: A framework for the management of agricultural resources with automated aerial imagery detection. Comput. Electron. Agric. 162, 53–69 (2019)
5. Youliang, C., Hanli, X., Xiangjun, Z., Peng, G., Zhigang, X., Xiaobin, H.: An object detection method for bayberry trees based on an improved YOLO algorithm. Int. J. Digit. Earth 16(1), 781–805 (2023)