Back to Search Start Over

Autonomous sweet pepper harvesting for protected cropping systems

Authors :
Lehnert, Christopher
English, Andrew
McCool, Christopher
Tow, Adam
Perez, Tristan
Lehnert, Christopher
English, Andrew
McCool, Christopher
Tow, Adam
Perez, Tristan
Source :
IEEE Robotics and Automation Letters
Publication Year :
2017

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.

Details

Database :
OAIster
Journal :
IEEE Robotics and Automation Letters
Publication Type :
Electronic Resource
Accession number :
edsoai.on1039186541
Document Type :
Electronic Resource