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Proceedings Paper

Nondestructive quantification of internal damage in rough rice caused by insects and fungus
Author(s): Anthony J. Cardarelli; Yang Tao; John L. Bernhardt; Fleet N. Lee
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Paper Abstract

A machine vision system was developed to inspect and estimate the internal damage of rough rice. A modified dark field illumination technique was use to direct light through the rice kernels without saturating the CCD camera. Under modified dark field illumination, the good portions of the rice kernels appeared translucent, while the damaged portions appeared opaque as well as some portions of the hull and the germ of the kernel. A combination of thresholding and morphological operators were used to segment the dark areas and to approximate the actual damaged area. The rice was visually separated into categories of undamaged, spot dammed, and damaged by trained entomologist and plant pathologists. The machine vision system was 91.5 percent successful overall for correctly categorizing a test sample of rice kernels.

Paper Details

Date Published: 14 January 1999
PDF: 8 pages
Proc. SPIE 3543, Precision Agriculture and Biological Quality, (14 January 1999); doi: 10.1117/12.336873
Show Author Affiliations
Anthony J. Cardarelli, Univ. of Arkansas (United States)
Yang Tao, Univ. of Arkansas (United States)
John L. Bernhardt, Rice Research and Extension Ctr. (United States)
Fleet N. Lee, Rice Research and Extension Ctr. (United States)


Published in SPIE Proceedings Vol. 3543:
Precision Agriculture and Biological Quality
George E. Meyer; James A. DeShazer, Editor(s)

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