Feasibility of a machine-vision-based grain cleaner
2004
Paliwal, J. | Jayas, D.S. | Visen, N.S. | White, N.D.G.
A lab scale grain cleaning system was designed, fabricated, and evaluated for its feasibility to be integrated with a machine vision system. It was hypothesized that the ranges of machine-vision-measured features derived from grain samples before and after passing them through the cleaner can be used to evaluate the cleaning performance. Algorithms were written to quantify the amount of impurity present in a grain sample only on the basis of machine-vision-extracted features without physically weighing the samples. This machine-vision-based performance was compared with the physical weighing technique and the results were statistically similar.
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