Agricultural and Biosystems Engineering Publications

Document Type

Article

Publication Date

11-1-2000

Journal or Book Title

Optical Engineering

Volume

39

Issue

11

First Page

3032

Last Page

3038

DOI

10.1117/1.1314595

Abstract

A noninvasive method for the estimation of internal temperature in chicken meat immediately following cooking is proposed. The external temperature from IR images was correlated with measured internal temperature through a multilayer neural network. To provide inputs for the network, time series experiments were conducted to obtain simultaneous observations of internal and external temperatures immediately after cooking during the cooling process. An IR camera working at the spectral band of 3.4 to 5.0 μm registered external temperature distributions without the interference of close-to-oven environment, while conventional thermocouples registered internal temperatures. For an internal temperature at a given time, simultaneous and lagged external temperature observations were used as the input of the neural network. Based on practical and statistical considerations, a criterion is established to reduce the nodes in the neural network input. The combined method was able to estimate internal temperature for times between 0 and 540 s within a standard error of ±1.01°C, and within an error of ±1.07°C for short times after cooking (3 min), with two thermograms at times t and t+30 s. The method has great potential for monitoring of doneness of chicken meat in conveyor belt type cooking and can be used as a platform for similar studies in other food products.

Comments

This article is from "Combined IR imaging-neural network method for the estimation of internal temperature in cooked chicken meat", Opt. Eng. 39(11), 3032-3038 (Nov 01, 2000). ; http://dx.doi.org/10.1117/1.1314595

Rights

Copyright 2000 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

Copyright Owner

Society of Photo-Optical Instrumentation Engineers

Language

en

File Format

application/pdf

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