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
Affiliations:
Carnegie Mellon University, Pittsburgh, USA;Carnegie Mellon University, Pittsburgh, USA;Vision Robotics, San Diego, USA;Carnegie Mellon University, Pittsburgh, USA;Carnegie Mellon University, Pittsburgh, USA;Purdue University, West Lafayette, USA;Pennsylvania State University, Biglerville, USA;Washington State University, Wenatchee, USA;Carnegie Mellon University, Pittsburgh, USA;Vision Robotics, San Diego, USA;Purdue University, West Lafayette, USA;Oregon State University, Aurora, USA;Purdue University, West Lafayette, USA;Carnegie Mellon University, Pittsburgh, USA;Carnegie Mellon University, Pittsburgh, USA
Venue:
Intelligent Service Robotics
Year:
2010

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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.