/Grading of Vegetative Cuttings Using Computer Vision

Grading of Vegetative Cuttings Using Computer Vision

Sanjiv Singh and Michael Montemerlo
Journal Article, Advanced Robotics, Vol. 12, No. 5, pp. 551 - 564, July, 1998

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This paper reports on recent progress in the development of system to group populations of vegetative cuttings. The system is required to assign a classification to cuttings such that they appear uniform after a growing period using single two-dimensional monochrome images. We have developed a fast segmentation technique that is able to measure plant features and a supervised learning scheme that learns a mapping from the features to a scalar classification. We report results based on segmentation of over 2000 geranium cuttings. The system is able to process images at 2 Hz and has an accuracy of over 90%. Both metrics exceed human performance.

BibTeX Reference
author = {Sanjiv Singh and Michael Montemerlo},
title = {Grading of Vegetative Cuttings Using Computer Vision},
journal = {Advanced Robotics},
year = {1998},
month = {July},
volume = {12},
number = {5},
pages = {551 - 564},