Sugarbeet and Bean Research Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
 
Programs and Projects
Subjects of Investigation
 

Research Project: TECHNOLOGIES FOR ASSESSING AND GRADING QUALITY AND CONDITION OF CUCUMBERS AND TREE FRUITS

Location: Sugarbeet and Bean Research

Title: Prediction of Apple Quality by Optical Properties

Authors
item Lu, Renfu
item Qin, Jianwei - MICHIGAN ST UNIVERSITY

Submitted to: Michigan State University Controlled Atmosphere Clinic
Publication Type: Experiment Station
Publication Acceptance Date: June 10, 2008
Publication Date: June 13, 2008
Citation: Lu, R., Qin, J. 2008. Prediction of Apple Quality by Optical Properties. Michigan State University Controlled Atmosphere Clinic. Volume 6. 10 p.

Technical Abstract: Optical properties (i.e., absorption and scattering) are useful for assessing the internal quality of apples such as firmness and soluble solids content (SSC). A spatially-resolved hyperspectral imaging technique was developed to measure the optical properties of apples for predicting fruit firmness and SSC. Absorption and scattering coefficients over the visible and near-infrared region of 500-1,000 nm were determined for 600 ‘Golden Delicious’ apples using the spatially-resolved hyperspectral imaging method. The absorption spectra of the apple samples were featured by major pigments (i.e., chlorophylls and carotenoids) and water in the fruit tissue, whereas the scattering spectra generally showed a steady decrease with the increase of wavelength. The measured absorption and scattering spectra were correlated with the firmness and SSC of ‘Golden Delicious’ apples; better correlations were obtained using the absorption spectra than using the scattering spectra. The combined absorption and scattering data gave better prediction results for both fruit firmness and SSC with the correlation coefficient (r) of 0.857 and 0.754, respectively. In comparison, a simpler method of calculating relative mean spectra from the hyperspectral scattering images was found to give comparable firmness prediction results (r=0.844) and better SSC predictions (r=0.864). The spatially-resolved hyperspectral imaging method provides an effective means for measuring the optical properties of apples and their quality attributes.

   

 
Project Team
Lu, Renfu
 
Publications
   Publications
 
Related National Programs
  Quality and Utilization of Agricultural Products (306)
 
 
Last Modified: 05/22/2013
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House