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 development of non-destructive methodologies based on Hyperspectral Imaging (HSI),
Nuclear Magnetic Resonance (NMR) and Magnetic Resonance Imaging (MRI) techniques to …

The effects of ripeness on the physicochemical properties and pulsed vacuum drying
characteristics of Thompson seedless grapes have been explored. Grape berries were …

Purpose: This study reviewed the major nondestructive measurement techniques used to
assess internal properties of agricultural materials that significantly influence the quality …

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 …

The purpose of this work was to assess the potential of 2T2D COS PLS-DA (two-trace two-
dimensional correlation spectroscopy and partial least squares discriminant analysis) in …

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 …

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 …