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

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.

[1]  T.,et al.  Training Feedforward Networks with the Marquardt Algorithm , 2004 .

[2]  Martin Lojka,et al.  Comparison of Different Feature Types for Acoustic Event Detection System , 2013, MCSS.

[3]  M. Picheny,et al.  Comparison of Parametric Representation for Monosyllabic Word Recognition in Continuously Spoken Sentences , 2017 .

[4]  John Makhoul,et al.  Variable Frame Rate Transmission: A Review of Methodology and Application to Narrow-Band LPC Speech Coding , 1982, IEEE Trans. Commun..

[5]  T.H. Crystal,et al.  Linear prediction of speech , 1977, Proceedings of the IEEE.

[6]  H. C. Card,et al.  Birdsong recognition with DSP and neural networks , 1995, IEEE WESCANEX 95. Communications, Power, and Computing. Conference Proceedings.

[7]  Chomtip Pornpanomchai,et al.  Smart Scarecrow , 2011, 2011 Third International Conference on Measuring Technology and Mechatronics Automation.

[8]  S. Hyakin,et al.  Neural Networks: A Comprehensive Foundation , 1994 .

[9]  Jozef Juhár,et al.  Feature selection for acoustic events detection , 2013, Multimedia Tools and Applications.

[10]  Hung T. Nguyen,et al.  A First Course in Fuzzy and Neural Control , 2002 .

[11]  C. Rader,et al.  A new principle for fast Fourier transformation , 1976 .

[12]  P. Antonik,et al.  MMW radar for dedicated bird detection at airports and airfields , 2004, First European Radar Conference, 2004. EURAD..

[13]  Klaus Riede,et al.  Automatic bird sound detection in long real-field recordings: Applications and tools , 2014 .

[14]  Hua-An Zhao,et al.  FFT based automatic species identification improvement with 4-layer neural network , 2013, 2013 13th International Symposium on Communications and Information Technologies (ISCIT).

[15]  H Hermansky,et al.  Perceptual linear predictive (PLP) analysis of speech. , 1990, The Journal of the Acoustical Society of America.

[16]  Jack B. Bishop,et al.  Review of international research literature regarding the effectiveness of auditory bird scaring techniques and potential alternatives. , 2003 .

[17]  Bhaskar D. Rao,et al.  Theoretical analysis of the high-rate vector quantization of LPC parameters , 1995, IEEE Trans. Speech Audio Process..