Objective
The high costs of European food production may be faced only 1) by large enterprises and brands able to use highly automatized production processes or 2) by quality products with high added value produced by small niche of enterprises. A wide adoption of reliable traceability systems also in small companies belonging to the agri.food sector and the improvement of the citizens' trust versus the capability to quickly identify contaminated product batches along the whole value chain contribute to avoid the following risks:- crisis of a whole national and international agri-food value chain due to a news about possible contamination of some foods;- loss of trust of the consumers for products coming from small producers' chains, due 1) to lack of capacity of demonstrating the traceability of the products and 2) to actions of large competitors interested in increasing their market quote.
The main objective of the P2P project is to develop methodologies and tools supporting the quick collection of information from different traceability systems so that citizens and public officers can easily access to such information in a unified approach. Industrial Associations play an important role setting-up service centres on which converges on real time all the traceability information. The main tools of the service centres are:- a methodology to assure collection of information from companies;- an Internet based and an open source software tool tailored on SMEs and easily supporting collection, archiving and sharing of information and documents often from already existing information system of the company. The P2P project faces the traceability of the swine value chain. The decision rises from many considerations: e.g. high number of SMEs involved, many international relations, low value of the single animal, variety of transformation processes ensure that the experience and the results developed will be profitably used also in other agri-food sectors.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Keywords
Call for proposal
FP6-2002-SME-2
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Funding Scheme
Collective - SMEs-Collective research projectsCoordinator
MODENA
Italy
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Participants (21)
ALBIZTUR
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MODENA
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MIRANDOLA
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REGGIO EMILIA
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MODENA
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MODENA
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LA PUEBLA DE MONTALBAN
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DELMENHORST
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ARANDA DE DUERO
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BARAKALDO (BIZKAIA)
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COBISA TOLEDO
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BREMEN
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PORTILE (MODENA)
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MODENA
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DELMENHORST
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MARKINA
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VIGNOLA (MODENA)
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GANDERKESEE
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BUDAPEST
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BUDAPEST
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BUDAPEST
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