Name
Abstract | ||
|---|---|---|
•We introduce a novel method for finding and tracking multiple plant leaves.•We can automatically measure relevant plant parameters (e.g. leaf growth rates).•The procedure has three stages: preprocessing, leaf segmentation, and tracking.•The method was tested on infrared tobacco-plant image sequences.•The framework was used in a EU project Garnics as a robotic perception unit. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.compag.2014.10.020 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Leaf segmentation,Leaf tracking,Leaf modeling,Plant growth,Phenotyping | Biology,Biological system,Plant growth,Artificial intelligence,Computer vision,Growth model,Infrared image,Rosette (botany),Segmentation,Botany,Preprocessor,Stereo image,Growth rate | Journal |
Volume | Issue | ISSN |
110 | C | 0168-1699 |
Citations | PageRank | References |
11 | 0.64 | 11 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eren Erdal Aksoy | 1 | 162 | 11.36 |
| Alexey Abramov | 2 | 217 | 8.99 |
| Florentin Wörgötter | 3 | 1304 | 119.30 |
| Hanno Scharr | 4 | 430 | 37.92 |
| Andreas Fischbach | 5 | 31 | 2.40 |
| Babette Dellen | 6 | 235 | 16.51 |