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Development Of Techniques For Online Safety Inspection Of Agricultural Products

Lefcourt, Alan; Kim, Moon; Delwiche, Stephen; Chen, Yud
USDA - Agricultural Research Service
Start date
End date
  1. Develop sensor technology for rapid detection of individual diseases or defects of unwholesome poultry carcasses,
  2. Develop sensor systems for automated inspection and detection of diseased and defective poultry carcasses on-line at slaughter plants,
  3. Develop rapid sensor techniques for detection of diseases/lesions, defects, and fecal contamination on apples and other fresh and processed fruits and vegetables, and
  4. Develop biosensors for detection of contamination in apple cider.
More information
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.
Funding Source
Agricultural Research Service
Project number
Accession number
Prevention and Control