Possibilities of Feedforward Multilayer Neural Network Classifier as a Detector of Pest Birds in Vineyards

Author:

Doležel Petr1,Mariška Martin1,Taufer Ivan1

Affiliation:

1. University of Pardubice

Abstract

In this paper, the application of artificial neural network clasifier to resolve pest birds in agricultural areas as a part of a comprehensive system of protection against vermin is demonstrated. Firstly, the idea of the whole system is outlined. Then, the method of recognition is described, the process of artificial neural network design is illustrated and the classifier is validated using data gathered in the fields. Eventually, the results are compared to similar works.

Publisher

Trans Tech Publications, Ltd.

Subject

General Medicine

Reference17 articles.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Convolutional Neural Network for Sound Processing - Study of Deployed Application;2019 29th International Conference Radioelektronika (RADIOELEKTRONIKA);2019-04

2. Recommendations for acoustic recognizer performance assessment with application to five common automated signal recognition programs;Avian Conservation and Ecology;2017

3. Pattern recognition neural network as a tool for pest birds detection;2016 IEEE Symposium Series on Computational Intelligence (SSCI);2016-12

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