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Medvedev P.V., Fedotov V.A. INFORMATION MEASURING SYSTEM OF DETERMINATION CONSUMER PROPERTIES OF WHEATPossibilities for determination of wheat consumer properties in information measuring system are explored. Use of the developed methods of computer vision allows defining indicators for grain hardness and water absorb capacity with maximum error not exceeding 3%. The use of engineered artificial neural network allows to reduce the error of definition of a class of grain hardness up to 0.2-1.0%.Key words: information measuring system, useful quality, wheat, computer vision, artificial neural network.
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About this article
Authors: Medvedev P.V., Fedotov V.A.
Year: 2013
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Editor-in-chief |
Sergey Aleksandrovich MIROSHNIKOV |
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