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Color classification of corn germplasm using computer vision| Format | Member Price | Non-Member Price |
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Paper 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%.
Paper Details
Date Published: 12 May 1993
PDF: 13 pages
Proc. SPIE 1836, Optics in Agriculture and Forestry, (12 May 1993); doi: 10.1117/12.144046
Published in SPIE Proceedings Vol. 1836:
Optics in Agriculture and Forestry
James A. DeShazer; George E. Meyer, Editor(s)
PDF: 13 pages
Proc. SPIE 1836, Optics in Agriculture and Forestry, (12 May 1993); doi: 10.1117/12.144046
Show Author Affiliations
Suranjan Panigrahi, North Dakota State Univ. (United States)
Manjit K. Misra, Iowa State Univ. (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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