Abstract
Five wheat varieties (Bezostaja, Çeşit1252, Dağdaş, Gerek, Kızıltan traded in Konya Exchange of Commerce, Turkey), characterized by nine geometric and three colour descriptive features have been classified by multiple classier system where pair-wise SLP or SV classifiers served as base experts. In addition to standard voting and Hastie and Tibshirani fusion rules, two new ones were suggested that allowed reducing the generalization error up to 5%. In classifying of kernel lots, we may obtain faultless grain recognition.
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Raudys, S., Baykan, Ö.K., Babalik, A., Denisov, V., Bielskis, A.A. (2007). Classifiers Fusion in Recognition of Wheat Varieties. In: Haindl, M., Kittler, J., Roli, F. (eds) Multiple Classifier Systems. MCS 2007. Lecture Notes in Computer Science, vol 4472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72523-7_7
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DOI: https://doi.org/10.1007/978-3-540-72523-7_7
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