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Proceedings Paper

Identifying and classifying damaged peanut kernels using ultraviolet, visible, and infrared sensors
Author(s): Floyd E. Dowell; William R. Windham
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Paper Abstract

Spectral reflectance characteristics of peanut kernels were measured using ultraviolet, visible, and infrared sensors. Kernels were classified into categories based on their spectral characteristics. Correlations of the reflectance data with qualitative and quantitative quality measurements then indicated the effectiveness of various optical sensors in identifying poor quality peanuts. The accuracy of various sensors when identifying poor quality peanuts is reported.

Paper Details

Date Published: 12 May 1993
PDF: 6 pages
Proc. SPIE 1836, Optics in Agriculture and Forestry, (12 May 1993); doi: 10.1117/12.144040
Show Author Affiliations
Floyd E. Dowell, USDA Agricultural Research Service (United States)
William R. Windham, USDA Agricultural Research Service (United States)

Published in SPIE Proceedings Vol. 1836:
Optics in Agriculture and Forestry
James A. DeShazer; George E. Meyer, Editor(s)

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