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New computer applications allow to classify Iberian pig meat automatically
Date:4/28/2008

ox and pigeon. The designed application permitted to quantify automatically the intramuscular connective tissue and the retraction of the muscular fibres in images taken by a system or artificial vision coupled to a microscopy. Second, the study has developed non-invasive techniques with a high analysis potential, such as spectral reflectance in the visible range and close infrared of the spectrum. They have worked with 30 porcine animals, 15 of white breed and 15 more of pure Iberian breed. They have carried out, in all of them, the quantification of the spectral reflectance on the masseter muscle of the animals jawbone.

Thanks to the combination of spectral radiometry and artificial vision techniques conceived in this doctoral thesis, they have been able to design computer samples of neuronal networks which correctly classify the meat samples, in all cases, with a success rate over 97%.

Applied research work

The described work, both the thesis and the scientific papers, have been inserted in the project Improvement of the Iberian pig meats gastronomic quality: a textural, physical-chemical, histological and culinary study. The study is now at a more advanced stage which means the transference of research results to the productive sector. Actually, the project has been possible thanks to the support of the Technological Corporation of Andalusia, the Stock Cooperative Society Valle de los Pedroches (COVAP) and Bodegas Campos.

At present, they are carrying out a more advanced study with 66 Iberian pigs applying the above mentioned techniques in order to identify the genetic purity of the Iberian phenotype expressed in animals, as well as to improve the control, security and quality levels in the productive chain according to the from the farm to the table philosophy.


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Contact: Dr. Fernando Garca del Moral
fgdelmoral@bodegascampos.com
34-957-326-310
Universidad de Granada
Source:Eurekalert

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