Color classification of corn germplasm using computer vision

Date
1992-11-15
Authors
Panigrahi, Suranjan
Misra, Manjit
Misra, Manjit
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Altmetrics
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Agricultural and Biosystems Engineering
Abstract

A color classification program was developed for classifying the corn germplasm into seven different color groups based on kernel colors. This heuristic based rule supervised color classification program has an overall accuracy of 99%.

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This paper was published in Proc. SPIE 1836, Optics in Agriculture and Forestry, 78 (May 12, 1993), doi:10.1117/12.144046.

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