TY - JOUR
T1 - Intelligent processing of spectroscopic signals obtained using an optical fibre based system for food quality control
AU - O'Farrell, M.
AU - Lewis, E.
AU - Flanagan, C.
AU - Lyons, W. B.
AU - Jackman, N.
PY - 2003/10
Y1 - 2003/10
N2 - An Optical fibre based sensor system has been developed for the purpose of examining the colour of food products online as they cook in a large-scale industrial oven. Spectroscopic techniques are employed to interrogate the sensor signal and the resultant output spectral patterns are examined by an Artificial Neural Network. A Pattern recognition system has, therefore, been developed which is capable of classifying colours that are favourable and those that are not optimum, in order to control the cooking process and optimise food quality.
AB - An Optical fibre based sensor system has been developed for the purpose of examining the colour of food products online as they cook in a large-scale industrial oven. Spectroscopic techniques are employed to interrogate the sensor signal and the resultant output spectral patterns are examined by an Artificial Neural Network. A Pattern recognition system has, therefore, been developed which is capable of classifying colours that are favourable and those that are not optimum, in order to control the cooking process and optimise food quality.
KW - Artificial neural network
KW - Back propagation learning
KW - Colour classification
KW - Feed forward networks
KW - Food processing industry
KW - Optical fibre sensor
KW - Pattern recognition
UR - http://www.scopus.com/inward/record.url?scp=3042535817&partnerID=8YFLogxK
U2 - 10.1080/10255810390243719
DO - 10.1080/10255810390243719
M3 - Article
AN - SCOPUS:3042535817
SN - 1025-5818
VL - 5
SP - 409
EP - 416
JO - International Journal of Smart Engineering System Design
JF - International Journal of Smart Engineering System Design
IS - 4
ER -