Identifying and classifying damaged peanut kernels using ultraviolet, visible, and infrared sensors

Floyd E. Dowell; William R. Windham

doi:10.1117/12.144040

12 May 1993 Identifying and classifying damaged peanut kernels using ultraviolet, visible, and infrared sensors

Floyd E. Dowell, William R. Windham

Proceedings Volume 1836, Optics in Agriculture and Forestry; (1993) https://doi.org/10.1117/12.144040
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

Floyd E. Dowell and William R. Windham "Identifying and classifying damaged peanut kernels using ultraviolet, visible, and infrared sensors", Proc. SPIE 1836, Optics in Agriculture and Forestry, (12 May 1993); https://doi.org/10.1117/12.144040

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