Optics in Agriculture and Forestry
Boston, MA, United States
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%.
SPIE—The International Society for Optical Engineering
Panigrahi, Suranjan and Misra, Manjit K., "Color classification of corn germplasm using computer vision" (1992). Agricultural and Biosystems Engineering Conference Proceedings and Presentations. 416.