Title :
Applying knowledge-based expert system to meat grading
Author_Institution :
Meat Animal Research Center, USDA-ARS, Clay Center, NE, USA
Abstract :
The author presents an ongoing project, which has the immediate objective of developing a knowledge-based expert system to assist meat graders and an ultimate objective of automating the meat grading process through applications of image processing, pattern recognition, and expert systems. A voice-input, knowledge-based system for grading carcass beef has been developed and tested. The meat grader provides input for the system in the form of carcass characteristics by speaking into a microphone headset. on reception of the characteristics of the carcass, the knowledge-based system reasons through the production rules to reach quality and yield grades for the carcass
Keywords :
computerised pattern recognition; computerised picture processing; expert systems; food processing industry; inspection; quality control; carcass beef; carcass characteristics; expert systems; image processing; knowledge-based expert system; meat graders; meat grading; pattern recognition; production rules; quality; voice-input; yield grades; Animals; Artificial intelligence; Expert systems; Humans; Image processing; Instruments; Knowledge based systems; Pattern recognition; System testing; US Department of Agriculture;
Conference_Titel :
AI Systems in Government Conference, 1989.,Proceedings of the Annual
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-1934-1
DOI :
10.1109/AISIG.1989.47314
