Background Food microstructure can be visualised by a wide range of microscopic
techniques, however these methods are usually destructive and require sample preparation …

Background Quality of pre-processed food grains is a critical aspect and a major decider of
market acceptability, storage stability, processing quality, and overall consumer acceptance …

The appearance of agricultural products deeply conditions their marketing. Appearance is
normally evaluated by considering size, shape, form, colour, freshness condition and finally …

Hyperspectral imaging (400–1000nm) and artificial neural network (ANN) techniques were
investigated for the detection of chilling injury in Red Delicious apples. A hyperspectral …

This paper presents a method based on computer vision to analyze the effect of drying on
shrinkage, color and image texture of apple discs. A standardized image acquisition system …

The use of artificial neural networks (ANN) in fault detection analysis is widespread. This
paper aims to provide an overview on its application in the field of fault identification and …

Sensitivity analysis establishes priorities for research and allows to identify and rank the
most important factors which lead to great improvements in output factors. The aim of this …

Variety identification is an indispensable tool to assure grain purity and quality. Based on
machine vision and pattern recognition, five China corn varieties were identified according …

Digital Twins are a novel approach to systems engineering that can help control complex
environments and interface humans with them. This is achieved by digitally mirroring a …

Artificial neural networks (ANNs) have been applied in almost every aspect of food science
over the past two decades, although most applications are in the development stage. ANNs …