The assessment of fresh and spoiled beef meat using a prototype device based on GigE Vision camera and DSP

An embedded system based on DSP platform and PCA-SVM algorithms for rapid beef meat freshness prediction and identification

(2018) Assia Arsalane et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Feasibility study on nondestructively sensing meat's freshness using light scattering imaging technique

(2016) Huanhuan Li et al.   MEAT SCIENCE

Instrumental assessment of red meat origins and their storage time using electronic sensing systems

(2015) Z. Haddi et al.   Analytical Methods

Evaluation of chicken freshness using a low-cost colorimetric sensor array with AdaBoost–OLDA classification algorithm

(2014) Quansheng Chen et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Real-time parallel implementation of Pulse-Doppler radar signal processing chain on a massively parallel machine based on multi-core DSP and Serial RapidIO interconnect

(2014) Abdessamad Klilou et al.   EURASIP Journal on Advances in Signal Processing

Sensory and microbiological quality assessment of beef fillets using a portable electronic nose in tandem with support vector machine analysis

(2012) Olga S. Papadopoulou et al.   FOOD RESEARCH INTERNATIONAL

Spoilage microbiota associated to the storage of raw meat in different conditions

(2012) Agapi I. Doulgeraki et al.   INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY

Non-destructive determination of water-holding capacity in fresh beef by using NIR hyperspectral imaging

(2011) Gamal ElMasry et al.   FOOD RESEARCH INTERNATIONAL

A comparison of artificial neural networks and partial least squares modelling for the rapid detection of the microbial spoilage of beef fillets based on Fourier transform infrared spectral fingerprints

(2010) Efstathios Z. Panagou et al.   FOOD MICROBIOLOGY

Potential prediction of the microbial spoilage of beef using spatially resolved hyperspectral scattering profiles

(2010) Yankun Peng et al.   JOURNAL OF FOOD ENGINEERING

Comparison of various wavelet texture features to predict beef palatability

(2009) Patrick Jackman et al.   MEAT SCIENCE

Rapid qualitative and quantitative detection of beef fillets spoilage based on Fourier transform infrared spectroscopy data and artificial neural networks

(2009) A.A. Argyri et al.   SENSORS AND ACTUATORS B-CHEMICAL

Prediction of beef eating quality from colour, marbling and wavelet texture features

(2008) Patrick Jackman et al.   MEAT SCIENCE

Prediction of beef eating qualities from colour, marbling and wavelet surface texture features using homogenous carcass treatment

(2008) Patrick Jackman et al.   PATTERN RECOGNITION

Electronic Nose Based on Metal Oxide Semiconductor Sensors as an Alternative Technique for the Spoilage Classification of Red Meat

(2008) Noureddine El Barbri et al.   SENSORS