A trainable image pattern classification system for detection of damaged soybean seeds

Optical properties of asymptomatic soybean seeds, green seeds, and four classes of soybean seeds discolored by fungi were determined using a spectroradiometer. Knowledge of the optical properties of soybean seeds provided a means of identifying that differences in spectral reflectance existed which could be used for discriminating among asymptomatic soybean seeds and seeds discolored by a pathogen. This knowledge also aided in identifying the feasibility of using color filters as a means for separation of soybean seed classes. Electromagnetic radiation between 436 and 724 nm provided the most information for linear separation of soybean seeds which was useful for identifying differences in the colors of soybean seeds. No single wavelength or combination of wavelengths could be used to linearly separate all classes of soybean seeds. The camera was used without modification by filters to collect data representing soybeans from the entire visible spectrum.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Agricultural Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Casady, William Walter

Contributors dc:contributor

• Paulsen, Marvin R.

• Engineering, Agricultural
• Engineering, Electronics and Electrical
• Computer Science

Statement dc:rights

• Copyright 1991 Casady, William Walter

Language dc:language

eng

Identifier

AAI9210758
(UMI)AAI9210758

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/21186