The subject of the project was to develop a neural model for the identification of selected mechanical damage to maize caryopses on the basis of digital photographs. The author has selected a set of features that distinguish damaged t healthy caryopses. As a result of this study it has been obtained an artificial neural network of a multilayer perceptron type whose identification capacity is near of the human 's one.
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Baranowski W.: Zastosowanie termografii do określnia parametrów oceny jakości wybranych nasion zbóż i owoców. Inżynieria Rolnicza, 2004, nr 3 (1-2), s. 15-22.
Materiały Agencji Rynku Rolnego: Wymagania jakościowe dla zbóż objętych interwencyjnym skupem od listopada do 31 maja oraz metody oznaczania wyróżników jakościowych w magazynach interwencyjnych, Warszawa, 2005.
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