Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference33 articles.
1. Albert, P., Saadeldin, M., Narayanan, B., Mac Namee, B., Hennessy, D., O’Connor, N.E., McGuinness, K., 2022. Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 1636–1646.
2. CRowNet: Deep network for crop row detection in UAV images;Bah;IEEE Access,2019
3. Beery, S., Wu, G., Edwards, T., Pavetic, F., Majewski, B., Mukherjee, S., Chan, S., Morgan, J., Rathod, V., Huang, J., 2022. The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 21294–21307.
4. A new method for crop row detection using unmanned aerial vehicle images;Chen;Remote Sens.,2021
5. Image segmentation using morphological operations;Chudasama;Int. J. Comput. Appl.,2015
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献