Location: Sugarbeet and Bean Research
Project Number: 3635-43000-004-00
Start Date: Sep 19, 2004
End Date: Sep 19, 2009
Imaging spectroscopy will be used for determining the spectral absorption and scattering properties of apple fruit and computer simulations will be developed to quantify light propagation and scattering in apple fruit and its relationship with fruit quality attributes. A prototype sensing system will be developed, using multispectral imaging technique, for grading apple fruit for firmness and soluble solids content. A new technique of combining hyperspectral reflectance and fluorescence will be developed to measure apple fruit maturity. A rapid sensing technique and system, using hyperspectral and/or multispectral transmission imaging, will be developed for detecting pits and pit fragments in processed tart cherries. Hyperspectral and/or multispectral reflectance and fluorescence imaging techniques will be used to detect defective cucumbers resulting from mechanical stress, temperature chilling, physiological disorder and diseases. Image processing algorithms, using artificial neural networks and statistical classification methods, will be developed and incorporated into a hyperspectral/multispectral imaging system for real-time sorting of defective pickling cucumbers. Near-infrared spectroscopy and/or imaging spectroscopy in transmission and reflectance modes will be used for measuring the keeping and processing quality of pickling cucumbers.