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University of Illinois at Urbana-Champaign
Detection of stress cracks in corn kernels using machine vision
Abstract
dc:descriptionMaintaining high quality of corn is very important to both corn producers and buyers. The detection of stress cracks remains one of the most important tasks in corn quality inspection. Such an index of quality would be helpful in assessing not only the end-use values of the corn but also the drying method used and the appropriateness of subsequent handling procedures.
Degree
thesis:*- 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 and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Kim, Chul-Soo
- Contributors dc:contributor
-
- Reid, John F.
Subjects
dc:subject × 2Rights
dc:rights- Statement dc:rights
-
- Copyright 1991 Kim, Chulsoo
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
-
AAI9124440
(UMI)AAI9124440 - OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/20995