Autonomous Sweet Pepper Harvesting for Protected Cropping Systems
June 07, 2017 ยท Declared Dead ยท ๐ IEEE Robotics and Automation Letters
"No code URL or promise found in abstract"
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Authors
Chris Lehnert, Andrew English, Chris McCool, Adam Tow, Tristan Perez
arXiv ID
1706.02023
Category
cs.RO: Robotics
Citations
225
Venue
IEEE Robotics and Automation Letters
Last Checked
2 months ago
Abstract
In this letter, we present a new robotic harvester (Harvey) that can autonomously harvest sweet pepper in protected cropping environments. Our approach combines effective vision algorithms with a novel end-effector design to enable successful harvesting of sweet peppers. Initial field trials in protected cropping environments, with two cultivar, demonstrate the efficacy of this approach achieving a 46% success rate for unmodified crop, and 58% for modified crop. Furthermore, for the more favourable cultivar we were also able to detach 90% of sweet peppers, indicating that improvements in the grasping success rate would result in greatly improved harvesting performance.
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