Share Email Print
cover

Proceedings Paper

Nondestructive technique for detecting diseased poultry carcasses
Author(s): Yud-Ren Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In response to the need of the U.S. Food Safety and Inspection Service, the Agriculture Research Service has undertaken a project to develop an accurate, reliable, and nondestructive sensor for detecting poultry diseased carcasses on-line at poultry processing plants. This paper presents some results of a study on the development of a nondestructive technique for the detection of abnormal poultry carcasses based on the spectroscopy of the carcasses. A diode array spectrophotometer equipped with a fiber optic probe was used to obtain optical spectra of the breasts of normal, septicemic, and cadaver poultry carcasses in visible and near-infrared regions (500 - 1100 nm). Optimal wavelengths of reflectance and interactance in the range of 500 to 850 nm were obtained for classifying the carcasses into normal and abnormal (septicemic and cadaver) classes. A back-propagation neural network model was used to develop classifiers for the classification of poultry carcasses into normal, septicemic, and cadaver classes.

Paper Details

Date Published: 30 April 1993
PDF: 12 pages
Proc. SPIE 1796, Chemical, Biochemical, and Environmental Fiber Sensors IV, (30 April 1993); doi: 10.1117/12.143542
Show Author Affiliations
Yud-Ren Chen, U.S. Dept. of Agriculture (United States)


Published in SPIE Proceedings Vol. 1796:
Chemical, Biochemical, and Environmental Fiber Sensors IV
Robert A. Lieberman, Editor(s)

© SPIE. Terms of Use
Back to Top