Comprehensive Automation for Specialty Crops: Year 1 results and lessons learned |
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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 |
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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
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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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