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Abstract

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.

Notes

Text Reference

Sanjiv Singh and Michael Montemerlo, "Grading of Vegetative Cuttings Using Computer Vision," Advanced Robotics, Vol. 12, No. 5, July, 1998, pp. 551 - 564.

BibTeX Reference

@article{Singh_1998_4013,
   author = "Sanjiv Singh and Michael Montemerlo",
   title = "Grading of Vegetative Cuttings Using Computer Vision",
   journal = "Advanced Robotics",
   pages = "551 - 564",
   month = "July",
   year = "1998",
   volume = "12",
   number = "5",
}

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