Paper
18 December 1996 Automated visual grading of vegetative cuttings
Qiang Ji, Sanjiv Singh
Author Affiliations +
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 paper reports on 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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiang Ji and Sanjiv Singh "Automated visual grading of vegetative cuttings", Proc. SPIE 2907, Optics in Agriculture, Forestry, and Biological Processing II, (18 December 1996); https://doi.org/10.1117/12.262849
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Binary data

Classification systems

Visualization

Cameras

Optical inspection

Algorithm development

RELATED CONTENT

Machine vision for solar cell characterization
Proceedings of SPIE (March 21 2000)
Eggshell defects detection based on color processing
Proceedings of SPIE (March 21 2000)
Seed maize quality inspection with machine vision
Proceedings of SPIE (December 17 1993)

Back to Top