Name
Abstract | ||
|---|---|---|
•A novel segmentation method for lettuce in 3D coloured point clouds is proposed.•Points are clustered into leafs, which are assigned to plants based on orientation.•Physical features are extracted from the segmented plant point clouds.•Fresh weight and extracted features show strong correlations. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compag.2018.09.010 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Leafy vegetables,Photogrammetry,Structure from motion,Biomass,Computer vision,Agricultural robotics | Agricultural robot,Computer vision,Field experiment,Segmentation,Artificial intelligence,Engineering,Point cloud,Cluster analysis | Journal |
Volume | ISSN | Citations |
154 | 0168-1699 | 0 |
PageRank | References | Authors |
0.34 | 9 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anders Krogh Mortensen | 1 | 13 | 3.65 |
| Asher Bender | 2 | 17 | 3.02 |
| Brett Whelan | 3 | 9 | 1.98 |
| Margaret M. Barbour | 4 | 0 | 0.34 |
| Salah Sukkarieh | 5 | 1142 | 141.84 |
| Henrik Karstoft | 6 | 28 | 8.60 |
| René Gislum | 7 | 17 | 4.36 |