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Near-infrared hyperspectral imaging and partial least squares regression for rapid and reagentless determination of Enterobacteriaceae on chicken fillets.
TLDR
It was demonstrated that hyperspectral imaging is a potential tool for determining food sanitation and detecting bacterial pathogens on food matrix without using complicated laboratory regimes. Expand
Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review
TLDR
It is envisaged that hyperspectral imaging can be considered as an alternative technique for conventional methods in realizing inspection automation, leading to the elimination of the occurrence of food safety problems at the utmost. Expand
Determination of total viable count (TVC) in chicken breast fillets by near-infrared hyperspectral imaging and spectroscopic transforms.
TLDR
Near infrared (NIR) hyperspectral imaging (HSI) and different spectroscopic transforms were investigated for their potential in detecting total viable counts in raw chicken fillets and multi-spectral imaging systems were suggested to be developed for online applications. Expand
Recent Progress of Hyperspectral Imaging on Quality and Safety Inspection of Fruits and Vegetables: A Review.
TLDR
Recent advances and applications of Hyperspectral imaging in detecting, classifying, and visualizing quality and safety attributes of fruits and vegetables and the basic principles and major instrumental components are presented. Expand
Near-infrared hyperspectral imaging in tandem with partial least squares regression and genetic algorithm for non-destructive determination and visualization of Pseudomonas loads in chicken fillets.
TLDR
Hyperspectral imaging is demonstrated to be an effective tool for nondestructive measurement of Pseudomonas in raw chicken breast fillets and extraction of mean spectra is more efficient for representation of sample spectra than computation of median spectra. Expand
Recent applications of hyperspectral imaging in microbiology.
TLDR
A brief overview of the fundamentals of HSI and a comprehensive review of applications of H SI in microbiology over the past 10 years are given. Expand
Application of invasive weed optimization and least square support vector machine for prediction of beef adulteration with spoiled beef based on visible near-infrared (Vis-NIR) hyperspectral imaging.
TLDR
It was demonstrated that it was feasible to use Vis-NIR hyperspectral imaging to detect homologous adulterant in beef and the LS-SVM simplified model performed best. Expand
Towards improvement in classification of Escherichia coli, Listeria innocua and their strains in isolated systems based on chemometric analysis of visible and near-infrared spectroscopic data
Abstract This study investigated the classification of Escherichia coli and Listeria innocua at species and strain levels using transflectance near infrared (NIR) spectroscopy together with variousExpand
Development of a computer vision system to detect inactivity in group-housed pigs.
TLDR
A computer vision system that could detect inactivity of individual pigs housed in group pens named as ‘DepInact’ is proposed to keep track of the inactive time of group-housed individual pigs over time and an accuracy of 85.7% was achieved using the verification data, demonstrating that the developed system is a viable alternative to manual detection of inactivity. Expand
Recognition of worm-eaten chestnuts based on machine vision
TLDR
The results showed that the proposed worm-eaten chestnut recognition method is accurate and fast, and it can provide a basis for on-line detection. Expand
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