ABE 426

Spring 2005 All Classes

All Classes

Credit: 3 hours.

(AG E 315) The convergence of computer imaging, pattern recognition, and artificial intelligence have made it possible to quantify complex physical phenomena that commonly occur in food and agricultural systems. This course introduces students to basic principles required for machine vision applications. Hardware and software aspects for machine vision applications will be studied.

Prerequisite: CS 101, MATH 225, or consent of instructor.

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ABE 426 class schedule data for spring 2005
CRN Type Section Time Day Location Instructor Section Details
29867
Laboratory
AB1
4:00PM -5:50PM
T
248 Agricultural Engr Sciences Bld
Grift, T
Part of Term:
1
Date Range:
01/18/05-05/04/05
29868
Lecture-Discussion
AE1
10:00AM -10:50AM
MW
242 Agricultural Engr Sciences Bld
Grift, T
Part of Term:
1
Date Range:
01/18/05-05/04/05
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