Objective
The aim of the proposal is the implementation of an innovative High Resolution X-Ray Detector for on-line identification of pits, bugs or internal defects (bruises or frost damage) after the fruit pitting process or immediately before the packaging process of food products. In particular, in the present project, a prototype for on-line detection of residual pits (or pits fragments) in olives or cherries will be developed, because of the wide market of this sector in Europe. The X-Ray technology was individuated by previous tests because it allows a non-invasive and safe detection, as well as a good speed of processing. At present, X-ray applications in food processing only allow the detection of metals and foreign objects with strong difference of density with the product, but the identification of bodies with very little difference of density, as the case of pits and bugs in fruit, proposed in the present project, is a still not solved issue coming from the food processing sector.
Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Call for proposal
Data not availableFunding Scheme
EAW - Exploratory awardsCoordinator
35127 PADOVA
Italy