DocumentCode
3409328
Title
Detection of Meat Fresh Degree Based on Neural Network
Author
Peiyuan, Guo ; Man, Bao ; Shiha, Qu ; Tianhua, Chen
Author_Institution
Beijing Technol. & Bus. Univ., Beijing
fYear
2007
fDate
5-8 Aug. 2007
Firstpage
2726
Lastpage
2730
Abstract
In order to find a quick valid scientific way to identify meat freshness, the article analyses the measuring mechanism of identifying to fresh degree of meat, and designs one set of intellectual detection and identification system that is based on electronic information technology, photoelectric detection technique, image processing technology and neural network model recognition technology. Through the test and analysis of the pork sample, it proves that this system is real-time in discerning the fresh degree of meat accurately. In addition, this method can apply to other relevant fields. The research result has very important reality and long-term meaning.
Keywords
food products; image recognition; neural nets; electronic information technology; identification system; image processing technology; intellectual detection; measuring mechanism; meat freshness degree detection; meat freshness identification; neural network model recognition technology; photoelectric detection technique; Design automation; Design engineering; Image analysis; Image processing; Image recognition; Mechatronics; Microorganisms; Neural networks; Nitrogen; Proteins; Freshness of pork; neural network; pattern-recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-0828-3
Electronic_ISBN
978-1-4244-0828-3
Type
conf
DOI
10.1109/ICMA.2007.4303989
Filename
4303989
Link To Document