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<ol> <li>Develop sensor technology for rapid detection of individual diseases or defects of unwholesome poultry carcasses,
<li>Develop sensor systems for automated inspection and detection of diseased and defective poultry carcasses on-line at slaughter plants,
<li>Develop rapid sensor techniques for detection of diseases/lesions, defects, and fecal contamination on apples and other fresh and processed fruits and vegetables, and
<li>Develop biosensors for detection of contamination in apple cider.</ol>
An industrial prototype poultry inspection system utilizing the visible/near-infrared and multispectral imaging technologies developed at the Instrumentation and Sensing Lab will be assembled. This industrial prototype system will be tested at a commercial poultry slaughter plant. Spectral variations in poultry carcasses that are important for the detection of diseases/lesions and defects will be characterized, using a newly developed two-dimensional correlation spectroscopic technique. Algorithms for identification of individual diseases and defects of poultry carcasses will be developed. A hyperspectral imaging system utilizing reflectance and fluorescence technologies will be developed and used for detection of diseases, defects, or fecal and/or other contamination on fresh apples and other fruits and vegetables. Optimal wavelengths will be determined and implemented in a multispectral imaging system for on-line detection of contamination on fresh apples. Biosensors will be developed for detection of contamination in apple cider.