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Comprehensive Automation for Specialty Crops: Year 1 results and lessons learned
Authors:Sanjiv Singh  Marcel Bergerman  Jillian Cannons  Benjamin Grocholsky  Bradley Hamner  German Holguin  Larry Hull  Vincent Jones  George Kantor  Harvey Koselka  Guiqin Li  James Owen  Johnny Park  Wenfan Shi  James Teza
Affiliation:1. Carnegie Mellon University, Pittsburgh, USA
2. Vision Robotics, San Diego, USA
3. Purdue University, West Lafayette, USA
4. Pennsylvania State University, Biglerville, USA
5. Washington State University, Wenatchee, USA
6. Oregon State University, Aurora, USA
Abstract:Comprehensive Automation for Specialty Crops is a project focused on the needs of the specialty crops sector, with a focus on apples and nursery trees. The project’s main thrusts are the integration of robotics technology and plant science; understanding and overcoming socio-economic barriers to technology adoption; and making the results available to growers and stakeholders through a nationwide outreach program. In this article, we present the results obtained and lessons learned in the first year of the project with a reconfigurable mobility infrastructure for autonomous farm driving. We then present sensor systems developed to enable three real-world agricultural applications—insect monitoring, crop load scouting, and caliper measurement—and discuss how they can be deployed autonomously to yield increased production efficiency and reduced labor costs.
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