Color classification of corn germplasm using computer vision

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%. Disciplines Agriculture | Bioresource and Agricultural Engineering Comments This paper was published in Proc. SPIE 1836, Optics in Agriculture and Forestry, 78 (May 12, 1993), doi:10.1117/12.144046. This article is available at Iowa State University Digital Repository: http://lib.dr.iastate.edu/abe_eng_conf/416 Color classification of corn germplasm using computer vision Suranjan Panigrahi North Dakota State University, Department of Agricultural Engineering, Fargo, North Dakota, 58105 Manjit Misra Iowa State University, Department of Agricultural Engineering Ames, Iowa 50010 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%.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%.