PIGSCAN

AUTOMATIC GRADING SYSTEM FOR DETERMINING LEAN-FAT DISTRIBUTION IN PIG CARCASSES

Coordinatore	TEKNOLOGISK INSTITUT    more  Organization address address: GREGERSENSVEJ 1 city: TAASTRUP postcode: 2630 contact info Titolo: Mr. Nome: Paul Andreas Holger Cognome: Dirac Email: send email Telefono: +45 7220 2978 Fax: +45 7220 2744
Nazionalità Coordinatore	Denmark [DK]
Totale costo	1˙333˙386 €
EC contributo	989˙319 €
Programma	FP7-KBBE Specific Programme "Cooperation": Food, Agriculture and Biotechnology
Code Call	FP7-KBBE-2012-6-singlestage
Funding Scheme	CP-TP
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-03-01   -   2015-02-28

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	TEKNOLOGISK INSTITUT  Organization address address: GREGERSENSVEJ 1 city: TAASTRUP postcode: 2630 contact info Titolo: Mr. Nome: Paul Andreas Holger Cognome: Dirac Email: send email Telefono: +45 7220 2978 Fax: +45 7220 2744	DK (TAASTRUP)	coordinator	128˙316.00
2	LENZ INSTRUMENTS SL  Organization address address: CALLE VICTOR PRADERA 45 city: CORNELLA DE LLOBREGAT postcode: 8940 contact info Titolo: Mr. Nome: Jacobo Cognome: Alvarez Email: send email Telefono: +34 931765132 Fax: 34932049866	ES (CORNELLA DE LLOBREGAT)	participant	465˙209.00
3	G & M STEEL FABRICATORS LIMITED  Organization address address: COES ROAD INDUSTRIAL ESTATE 14/15 city: DUNDALK contact info Titolo: Mr. Nome: Diarmaid Cognome: Heussaff Email: send email Telefono: 353429000000 Fax: 353429000000	IE (DUNDALK)	participant	277˙190.00
4	INSTITUT DE RECERCA I TECNOLOGIA AGROALIMENTARIES.  Organization address address: Passeig de Gracia, 44 3 planta city: BARCELONA postcode: 8007 contact info Titolo: Mr. Nome: Jordi Cognome: De La Cuesta Email: send email Telefono: +34 934674040 Fax: +34 934674042	ES (BARCELONA)	participant	88˙497.00
5	VION FOOD NEDERLAND BV  Organization address address: BOSEIND 10 city: BOXTEL postcode: 5281 RMA contact info Titolo: Ms. Nome: Iris Cognome: Van Der Wal Email: send email Telefono: 31613068109	NL (BOXTEL)	participant	30˙107.00

Mappa

 Word cloud

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 Obiettivo del progetto (Objective)

'The pig meat industry is an important contributor to the European economy with a turnover of 66.3 billion € and some 560,000 employees. The sector is suffering significant continuous decline due to the continued pressures of low prices, high feed costs and the consequences of livestock diseases, leading to a gradual loss of world market share, falling to 16% of global exports by 2020, compared to 27% in 2009. To maintain sector viability is necessary to increase productivity and raise the standards of quality. Partners behind this proposal have identified the need for a technology that accurately analyse pig carcasses, gathering vital information of the lean-fat content in the whole carcass and its primal cuts (ham, loin, belly and shoulder), without which 30-40% of all processed meats do not reach the expected final quality. Pig meat processors will select higher quality meats for higher added-value processes, while lower quality meats will be separated and treated to achieve an acceptable and consistent final quality. PIGSCAN will also ensure fair payment to the pig producer and this will spur them to ensuring the optimal quality of their animals, through better feeding and breeding. PIGSCAN relies on a solid technology background of the SME proposers arising from a sixth Framework Program Research Project (MEATGRADING nº COOP-CT-2005-01761). Experts in carcass quality (IRTA and DTI), pig meat processors (VION) and SME proposers (LENZ and G&M) will develop PIGSCAN system, an automatic, non-contact grading system based on Magnetic Induction and Image Analysis. The commercial price will be of €80,000; an investment recoverable in 6 months of operation for vast majority of slaughterhouses and pig meat processing companies in the EU. With a time-to-market of 12 months, PIGSCAN represents a real business opportunity for the SMEs proposers LENZ and G&M, who will jointly exploit the results to reach a foreseen 2.5% EU market penetration over a 5-year period.'

Introduzione (Teaser)

Researchers in the EU are developing and testing an automated non-invasive scanner to rapidly measure lean content of pig carcasses and primal cuts.