Using Multispectral Imaging for Spoilage Detection of Pork Meat

By Bjørn S. Dissing, Olga S. Papadopoulou, C. Tassou, Bjarne Kjær Ersbøll, Jens Michael Carstensen, Efstathios Z Panagou, George - John Nychas. Food and Bioprocess Technology, 2013

127 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Animal Science and Zoology, Biomedical Engineering

View Paper: https://www.semanticscholar.org/paper/057a31c9a45ca441e2704b4d39631b27ff435845

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Dimitrios E Pavlidis
2. Efstathios Z Panagou
3. Fady R. Mohareb
4. Athina Ropodi
5. George - John Nychas

In Animal Science and Zoology

1. Efstathios Z Panagou
2. George - John Nychas

In Biomedical Engineering

1. Efstathios Z Panagou
2. Athina Ropodi
3. George - John Nychas

Citations in the corpus

• Multispectral image analysis approach to detect adulteration of beef and pork in raw meats (2015, methodology): “…Seefeldt, Skov, & Edelenbos, 2013) and it has been previously used for the conversion of meat colour in L*, a*, b* values (Sharifzadeh, Clemmensen, Borggaard, Støier, & Ersbøll, 2014) and for quality assessment of beef (Dissing et al., 2013; Panagou, Papadopoulou, Carstensen, & Nychas, 2014).”