MATEC Web of Conferences
Volume 61, 2016The International Seminar on Applied Physics, Optoelectronics and Photonics (APOP 2016)
|Number of page(s)||5|
|Section||Chapter 2 Electronic Technology and Electrical Engineering|
|Published online||28 June 2016|
Research on the Forecast Model of Total Viable Count on Bacon Based on Hyper spectral Imaging Technique
School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
Biography: Peiyuan Guo (1958-), Beijing Technology and Business University, Professor, doctor, Email: email@example.com
Junhua Zhao (1989-), Beijing Technology and Business University, master, Email: firstname.lastname@example.org
The total viable count (TVC) in bacon overweight can cause serious damage to human health. In order to find a rapid and nondestructive method of TVC, hyper spectral imaging technique was applied to quantitatively analysis of TVC on bacon. Comprehensively comparing the pretreatment method of multiple scattering, derivative method and so on finally the multiple scattering for pretreatment was used. And the interval optimization method of least squares model was set up to predict, and get a good prediction results. The correlation coefficient of the calibration and predictions respectively was 0.808 and 0.808, interactive authentication root mean square error was 0.115 and 0.198 respectively. Therefore, hyper spectral imaging technique combining iPLS can be used for the rapid detection of TVC on bacon.
Key words: bacon / total viable count / hyper spectral imaging / interval optimization least-squares
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.