Intelligent processing of spectroscopic signals obtained using an optical fibre based system for food quality control

M. O'Farrell; E. Lewis; C. Flanagan; W. B. Lyons; N. Jackman

doi:10.1080/10255810390243719

Intelligent processing of spectroscopic signals obtained using an optical fibre based system for food quality control

M. O'Farrell
, E. Lewis
, C. Flanagan
, W. B. Lyons
, N. Jackman

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	409-416
Number of pages	8
Journal	International Journal of Smart Engineering System Design
Volume	5
Issue number	4
DOIs	https://doi.org/10.1080/10255810390243719
Publication status	Published - Oct 2003

Keywords

Artificial neural network
Back propagation learning
Colour classification
Feed forward networks
Food processing industry
Optical fibre sensor
Pattern recognition

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10.1080/10255810390243719

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title = "Intelligent processing of spectroscopic signals obtained using an optical fibre based system for food quality control",

abstract = "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.",

keywords = "Artificial neural network, Back propagation learning, Colour classification, Feed forward networks, Food processing industry, Optical fibre sensor, Pattern recognition",

author = "M. O'Farrell and E. Lewis and C. Flanagan and Lyons, \{W. B.\} and N. Jackman",

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AU - Jackman, N.

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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

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Intelligent processing of spectroscopic signals obtained using an optical fibre based system for food quality control

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Keywords

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