An Intelligent Optical Fibre Based Sensor System for Monitoring Food Quality

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

An Intelligent Optical Fibre Based Sensor System for Monitoring Food Quality

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

Department of Electronics & Computer Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

It is evident that colour analysis of food is critical in the sale of pre-cooked foods. Through the use of spectroscopy, in the region of the visible and near infra-red spectrum, it is possible to examine different colours and then analyse them. Combining this with Artificial Neural Networks, a pattern recognition system is generated to classify between colours that are favourable and those that are not optimum, in an effort to control the cooking process.

Original language	English
Pages	308-311
Number of pages	4
Publication status	Published - 2002
Event	First IEEE International Conference on Sensors - IEEE Sensors 2002 - Orlando, FL, United States Duration: 12 Jun 2002 → 14 Jun 2002

Conference

Conference	First IEEE International Conference on Sensors - IEEE Sensors 2002
Country/Territory	United States
City	Orlando, FL
Period	12/06/02 → 14/06/02

Keywords

Artificial Neural Network
Colour Classification
Feed Forward Networks
Food Processing Industry
Optical Fibre Sensor
Pattern Recognition
Probes

Cite this

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title = "An Intelligent Optical Fibre Based Sensor System for Monitoring Food Quality",

abstract = "It is evident that colour analysis of food is critical in the sale of pre-cooked foods. Through the use of spectroscopy, in the region of the visible and near infra-red spectrum, it is possible to examine different colours and then analyse them. Combining this with Artificial Neural Networks, a pattern recognition system is generated to classify between colours that are favourable and those that are not optimum, in an effort to control the cooking process.",

keywords = "Artificial Neural Network, Colour Classification, Feed Forward Networks, Food Processing Industry, Optical Fibre Sensor, Pattern Recognition, Probes",

author = "M. O'Farrell and E. Lewis and C. Flanagan and N. Jackman",

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language = "English",

pages = "308--311",

note = "First IEEE International Conference on Sensors - IEEE Sensors 2002 ; Conference date: 12-06-2002 Through 14-06-2002",

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AU - O'Farrell, M.

AU - Lewis, E.

AU - Flanagan, C.

AU - Jackman, N.

PY - 2002

Y1 - 2002

N2 - It is evident that colour analysis of food is critical in the sale of pre-cooked foods. Through the use of spectroscopy, in the region of the visible and near infra-red spectrum, it is possible to examine different colours and then analyse them. Combining this with Artificial Neural Networks, a pattern recognition system is generated to classify between colours that are favourable and those that are not optimum, in an effort to control the cooking process.

AB - It is evident that colour analysis of food is critical in the sale of pre-cooked foods. Through the use of spectroscopy, in the region of the visible and near infra-red spectrum, it is possible to examine different colours and then analyse them. Combining this with Artificial Neural Networks, a pattern recognition system is generated to classify between colours that are favourable and those that are not optimum, in an effort to control the cooking process.

KW - Artificial Neural Network

KW - Colour Classification

KW - Feed Forward Networks

KW - Food Processing Industry

KW - Optical Fibre Sensor

KW - Pattern Recognition

KW - Probes

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M3 - Paper

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T2 - First IEEE International Conference on Sensors - IEEE Sensors 2002

Y2 - 12 June 2002 through 14 June 2002

ER -

An Intelligent Optical Fibre Based Sensor System for Monitoring Food Quality

Abstract

Conference

Keywords

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