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Chicken Disease Characterization by Fluorescence Spectroscopy

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  023061,  2002 ASAE Annual Meeting . (doi: 10.13031/2013.9173) @2002
Authors:   Sukwon Kang, Moon S. Kim, Kuanglin Chao, Intaek Kim,Yud-Ren Chen
Keywords:   Fluorescence, spectrofluorometer, poultry carcass diseases, classification

Fluorescence spectroscopy was used to characterize chicken carcass spectra. Spectral signatures of three different disease categories of poultry carcasses (airsacculitis, cadaver and septicemia) were obtained from fluorescence emission measurements in the wavelength range of 360 to 600 nm with 330 nm excitation. Principal Component Analysis (PCA) was used to select the most significant wavelengths for the classification of poultry carcasses. These wavelengths were analyzed for pathologic correlation of poultry diseases. Using a Soft Independent Modeling of Class Analogy (SIMCA) of principal components with a Mahalanobis distance metric, poultry carcasses were individually classified into different classes with 97.9% accuracy.

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