The Robotics Institute

Carnegie Mellon Robotics Institute

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract

Commercial vegetative propagation of floricultural crops requires the segregation of plant cuttings into categories based on size. The cuttings however must be graded when they are planted ("stuck"), at which time the grade of a cutting is not easy to determine.

This report describes a system that learns to classify cuttings from being shown examples of images of cuttings that have been graded by a human expert. Based on the example set, the system learns to grade cuttings into categories.

We report the results based on a set of 150 geranium plants that were graded by our system and compare the results to the performance of an expert grader.

Notes

Sponsor: Oglevee Ltd.

Grant ID: DAAH04-94-G-0006

Number of pages: 29

Text Reference

Qiang Ji and Sanjiv Singh, "Early Results in the Grading of Vegetative Cuttings Using Computer Vision," tech. report CMU-RI-TR-96-22, Robotics Institute, Carnegie Mellon University, May, 1996

BibTeX Reference

@techreport{Singh_1996_415,
   author = "Qiang Ji and Sanjiv Singh",
   title = "Early Results in the Grading of Vegetative Cuttings Using Computer Vision",
   booktitle = "",
   institution = "Robotics Institute",
   month = "May",
   year = "1996",
   number= "CMU-RI-TR-96-22",
   address= "Pittsburgh, PA",
}

The Robotics Institute

Menu