Summary of Automatic Detection, Positioning and Counting Of Grape Bunches Using Robots, by Xumin Gao
Automatic Detection, Positioning and Counting of Grape Bunches Using Robots
by Xumin Gao
First submitted to arxiv on: 12 Dec 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Robotics (cs.RO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A new agricultural robotics system combines automatic detection, positioning, and counting algorithms for grape bunches to promote efficient harvesting and yield estimation. The Yolov3 detection network accurately detects grape bunches, while a local tracking algorithm eliminates relocation errors. Using depth distance and spatial restriction methods, the system obtains accurate 3D spatial positions of central points. This technology is verified in simulated vineyard environments using agricultural robots. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A team developed an innovative way to help farmers pick grapes more efficiently. They created a robot that can find, count, and locate grape bunches. The robot uses special algorithms to detect the grape bunches and then calculate their exact position in 3D space. This technology is important because it can make farming easier and more productive. |
Keywords
» Artificial intelligence » Tracking
