Open AccessAPPLICATION OF CLASSIFICATION TECHNIQUES IN THE ANALYSIS OF EXTERNAL CHARACTERISTICS OF EGGS
Author(s) -
Mariya Georgieva-Nikolova,
Zlatin Zlatev
Publication year - 2019
Publication title -
applied researches in technics, technologies and education
Language(s) - English
Resource type - Journals
eISSN - 1314-8796
pISSN - 1314-8788
DOI - 10.15547/artte.2019.04.004
Subject(s) - quail , pattern recognition (psychology) , support vector machine , principal component analysis , artificial intelligence , mathematics , statistics , computer science , biology , ecology
In this article a comparative analysis is made to determine the influence of vectors of selected features derived from geometric, optical and dielectric characteristics of eggs on the accuracy of classification, depending on their weight. Suitable for classification are the principal components and latent variables that reduce feature vectors containing shape indices (D, A, V), spectral indices (TVI, GLI), dielectric characteristics (C, k), selected by four methods (CORR, SFCPP, RELIEFF, FSRNCA). By comparative studies it is found that the use of classification methods (DT, DA, SVM) are more effective in predicting weight of hen eggs than in quail eggs. The proposed egg analysis methods take precedence over the known solutions in this field as it takes into account changes in the internal properties of quail and hen eggs when stored.