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Proceedings Paper

Identification of selected apple pests based on selected graphical parameters
Author(s): P. Boniecki; K. Koszela; H. Piekarska-Boniecka; K. Nowakowski; J. Przybył; M. Zaborowicz; B. Raba; J. Dach
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Paper Abstract

The aim of this work was a neural identification of selected apple tree orchard pests. The classification was conducted on the basis of graphical information coded in the form of selected geometric characteristics of agrofags, presented on digital images. A neural classification model is presented in this paper, optimized using learning sets acquired on the basis of information contained in digital photographs of pests. In particular, the problem of identifying 6 selected apple pests, the most commonly encountered in Polish orchards, has been addressed. In order to classify the agrofags, neural modelling methods were utilized, supported by digital analysis of image techniques.

Paper Details

Date Published: 19 July 2013
PDF: 7 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782S (19 July 2013); doi: 10.1117/12.2030702
Show Author Affiliations
P. Boniecki, Poznan Univ. of Life Sciences (Poland)
K. Koszela, Poznan Univ. of Life Sciences (Poland)
H. Piekarska-Boniecka, Poznan Univ. of Life Sciences (Poland)
K. Nowakowski, Poznan Univ. of Life Sciences (Poland)
J. Przybył, Poznan Univ. of Life Sciences (Poland)
M. Zaborowicz, Poznan Univ. of Life Sciences (Poland)
B. Raba, Poznan Univ. of Life Sciences (Poland)
J. Dach, Poznan Univ. of Life Sciences (Poland)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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