Autonomous Sweet Pepper Harvesting for Protected Cropping Systems
Chris Lehnert, Andrew English, Chris McCool, Adam W. Tow, Tristán Pérez
- Year
- 2017
- Citations
- 259
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.
Keywords
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