Methods and devices for automatic assessment of corn
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United States of America Patent
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Apr 27, 1999
Grant Date -
N/A
app pub date -
Nov 5, 1996
filing date -
Mar 17, 1994
priority date (Note) -
In Force
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Abstract
The flour yield, protein content and bulk density of cereal kernels can be determined by producing images of the cereal kernels, at least one color parameter and/or at least one geometric parameter are determined for the cereal kernels, and input signals to a neural network are produced by means of the color parameter and/or the geometric parameter. If the neural network is trained in some suitable manner, it can determine the flour yield, protein content and bulk density on the basis of the input signals.
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