Abstract
The objective of this study was to achieve an experimental protocol (EP) to determine quality characteristics of dry-cured loins non-destructively by using low-field (LF) Magnetic Resonance Imaging (MRI). The MRI procedure is composed of three main stages: MRI acquisition, MRI analysis (computer vision techniques) and data analysis (data mining methods). Two procedures have been implemented within a EP and validated with real samples from the meat industry (dry-cured loins, n = 100) by means of different quality measures. The validation results may indicate the use of both implemented procedures and the development of an EP to determine quality characteristics of loins by LF MRI-computer vision-data mining in a non-destructive way, with high accuracy and reducing the dispersion of the values. This brings the possibility of implementing this methodology in meat processing plants. • MRI with different computer vision and data mining methods allow the analysis of meat products. • Two MRI - computer vision - data mining procedures was implemented and evaluated. • An experimental protocol was developed to analyse dry-cured loins non-destructively.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
