Intelligent Service Robotics

, Volume 3, Issue 4, pp 245–262

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


  • Sanjiv Singh
    • Carnegie Mellon University
    • Carnegie Mellon University
  • Jillian Cannons
    • Vision Robotics
  • Benjamin Grocholsky
    • Carnegie Mellon University
  • Bradley Hamner
    • Carnegie Mellon University
  • German Holguin
    • Purdue University
  • Larry Hull
    • Pennsylvania State University
  • Vincent Jones
    • Washington State University
  • George Kantor
    • Carnegie Mellon University
  • Harvey Koselka
    • Vision Robotics
  • Guiqin Li
    • Purdue University
  • James Owen
    • Oregon State University
  • Johnny Park
    • Purdue University
  • Wenfan Shi
    • Carnegie Mellon University
  • James Teza
    • Carnegie Mellon University
Special Issue

DOI: 10.1007/s11370-010-0074-3

Cite this article as:
Singh, S., Bergerman, M., Cannons, J. et al. Intel Serv Robotics (2010) 3: 245. doi:10.1007/s11370-010-0074-3


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.


Specialty cropsReconfigurable mobilityCrop intelligenceInsect monitoringCrop load estimationCaliper measurement
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Copyright information

© Springer-Verlag 2010