VIS-NIR MULTISPECTRAL FEATURES IN CONJUNCTION WITH ANN FOR PREDICTING BIOCHEMICAL AND MICROS-STRUCTURAL FEATURES OF BEEF MUSCLES
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Abstract
The objective of this study was to determine the possibility of Multispectral Imaging (MSI) recorded in the VIS and NIR electromagnetic regions to predict both composition (in some major components), structure of intramuscular connective tissue (IMCT), proportion of intramuscular lipids (IML) and some characteristic parameters of muscle fibres involved in beef sensory quality. In order to do this, three muscles (Longissimus thoracis, Semimembranosus and Biceps femoris) of three type of animal (Aberdeen Angus, Limousine and Blonde d’Aquitaine) were used. After acquisition of images by MSI and segmentation of their morphological parameters, a back propagation ANN model was applied to predict the muscular components and parameters cited above. The predictive models were validated by an external set of samples and the results presented a reasonable accuracy and are promising (R2 test > 0.90) for real application.
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