Deep learning has been proved to be an advanced technology for big data analysis with a
large number of successful cases in image processing, speech recognition, object detection …

The methodology traditionally used to analyse the quality parameters of meat and meat
products involves the destruction of the samples. Moreover, these techniques are tedious …

NMR is an emerging technology in the field of food analysis. Its combination with
multivariate statistics and the application of multinuclear and multidimensional experiments …

This study aims to evaluate the capability of Magnetic Resonance Imaging (MRI) and
computer vision techniques to classify fresh (raw F)(n= 12) and frozen-thawed (FT)(n= 12) …

This work firstly investigates the use of MRI, fractal algorithms and data mining techniques to
determine pork quality parameters non-destructively. The main objective was to evaluate the …

BACKGROUND The main objectives of this study were to evaluate the use of near infrared
spectroscopy (NIRS) to classify pork loins under different methods and cooking conditions …

This work aims to estimate the shelf life of Golden Delicious apple fruit stored at room
temperature by determining the changing trend in color every week using a non-destructive …

The quality of meat products is traditionally assessed by chemical or sensorial analysis,
which are time consuming, need specialized technicians and destroy the products. The …

Magnetic resonance imaging (MRI) was used to study the structural changes during dry-
cured ham manufacturing. T 1, T 2 and apparent diffusion coefficient (ADC) were …

Computer vision algorithms on Magnetic Resonance Imaging have been introduced as an
alternative to destructive methods for determining the quality traits of meat products, since …