Name
Abstract | ||
|---|---|---|
•In orchards, acquiring the maximum data possible is essential for growers.•Propose a deep learning model to help growers measure and acquire crop data.•Construct a large apple tree detection, segmentation, and measurement dataset.•The proposed model achieved a high count accuracy of 94.1% and a high segmentation accuracy of 97.1%.•The average measurement accuracy for the proposed model is over 92%. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compag.2020.105504 | Computers and Electronics in Agriculture |
Keywords | DocType | Volume |
UAV,Apple tree,Deep learning,Computer vision,Detection,Segmentation | Journal | 174 |
ISSN | Citations | PageRank |
0168-1699 | 1 | 0.35 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jintao Wu | 1 | 1 | 0.35 |
| Guijun Yang | 2 | 3 | 11.33 |
| Hao Yang | 3 | 28 | 7.63 |
| Yaohui Zhu | 4 | 1 | 0.35 |
| zhenhai | 5 | 45 | 14.06 |
| Lei Lei | 6 | 1 | 0.35 |
| J.-C. Zhao | 7 | 135 | 52.42 |