Pattern Recognition Neural Network as a Tool for Pest Birds Detection
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Datum publikování
2016
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Vydavatel
IEEE (Institute of Electrical and Electronics Engineers)
Abstrakt
Various kinds of vermin have been considered as a huge problem since primeval times. Over this period, means of protection against vermin have developed to be very quick and efficient. However, new goals in protection have appeared recently which reflects legislative changes in most countries. Public opinion has shifted towards greater environment protection. Nowadays, vermin control systems have turned from being used globally into local applications and from being applied preventively into casual usage. Thus, accurate vermin detection units are becoming very important parts of vermin control systems. This situation is valid in agricultural areas (e.g. vineyards) which are protected against pest birds, too. Reflecting on the current situation, a feedforward multilayer artificial neural network, aimed on detection of European starling in vineyards, is presented in this paper. Except a description and validation of the detection method, the idea of the comprehensive protection system is also outlined in this paper.
Rozsah stran
p. 1-6
ISSN
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Projekt
SGS_2016_019/Speciální topologie umělé neuronové sítě jako aproximátor a klasifikátor
Zdrojový dokument
2016 IEEE Symposium Series on Computational Intelligence (SSCI)
Vydavatelská verze
http://ieeexplore.ieee.org/document/7849988/
Přístup k e-verzi
Pouze v rámci univerzity
Název akce
2016 IEEE Symposium Series on Computational Intelligence (SSCI) (06.12.2016 - 09.12.2016)
ISBN
978-1-5090-4240-1
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Klíčová slova
Neural networks, decision support, pest birds, Neuronová síť, podpora rozhodování, škodné ptactvo