Name
Title | ||
|---|---|---|
Mapping almond orchard canopy volume, flowers, fruit and yield using lidar and vision sensors. |
Abstract | ||
|---|---|---|
•An efficient robotic and software system to map almond orchards is presented.•Cameras and lasers estimate canopy volume, flowers & fruit loading to predict yield.•A 2.3ha orchard block with 580 trees was scanned 3times per year for 2years.•Hand held cameras were used to estimate fruit load, with post-harvest validation.•Yield predicted with linear relationship to canopy volume over 2years, R2=0.77. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.compag.2016.09.014 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Robotics,Sensing,Machine vision,Lidar,Multi-sensor fusion,Orchard yield mapping | Orchard,Machine vision,Remote sensing,Image processing,Lidar,Engineering,Logging,Canopy | Journal |
Volume | ISSN | Citations |
130 | 0168-1699 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| James Patrick Underwood | 1 | 442 | 39.37 |
| Calvin Hung | 2 | 61 | 6.01 |
| Brett Whelan | 3 | 9 | 1.98 |
| Salah Sukkarieh | 4 | 1142 | 141.84 |