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FP6

Final Report - MEATGRADING (Automatic non-invasive expert system for Europ carcass grading of swine, beef and lamb using cross sectional electrical conductivity)

Project ID: 17615
Funded under: FP6-SME

Abstract

MEATGRADING is a European funded co-operative research project within the Sixth Framework Programme (FP6) whose ultimate aim was to develop a cost-effective, automatic, objective classification system to provide an accurate SEUROP classification for pigs and EUROP classification for beef and sheep carcasses, based on non-invasive and non-contact methods. In addition, given current trends in pig, sheep and beef sectors, a need emerged for equipment that could accurately predict the meat composition and yield of primal cuts.

The scientific objective of the project was centred around the adaptation of Magnetic induction tomography (MIT) to provide a non-contact measure of carcass conductivity in multiple sections of a pig, beef and sheep carcasses. A further scientific objective lay on developing low-cost machine vision methods to provide beef and sheep conformation data and other carcass dimensions. Correlation equations were developed to determine carcass fat class using carcass weight, conductivity, and geometric data (lengths, widths, volumes, etc.) from the Video image analysis (VIA) system, as inputs.

The overall technical objectives were the development of an automatic grading machine to provide SEUROP pig classification and EUROP beef and sheep classification. The machine had to be compatible with industry requirements (i.e. where carcasses are hung from overhead tracks and processed at up to 1200 head per hour), and had to provide carcass classification using non-contact inspection methods.

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Related information

Record Number: 10980 / Last updated on: 2012-04-12
Category: PROJ