DIAGNOSIS OF SICK DUCKS AS BASED ON THEIR VOICES AND THROUGH ARTIFICIAL INTELLIGENCE METHODS

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KHAZAEE MEGHDAD; BANAKAR AHMAD

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ISSN: 2588-4824

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Journal: Iranian Journal of Biosystems Engineering Year:2016 | Volume:47 | Issue:2 Page(s): 307-318

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Title

DIAGNOSIS OF SICK DUCKS AS BASED ON THEIR VOICES AND THROUGH ARTIFICIAL INTELLIGENCE METHODS

Author(s)

KHAZAEE MEGHDAD | BANAKAR AHMAD | Issue Writer Certificate

Keywords

SICK BIRDS DETECTIONQ1

SOUND SIGNALSQ1

DATA MININGQ1

ARTIFICIAL NEURAL NETWORK (ANN)Q2

SUPPORT VECTOR MACHINE (SVM)Q1

Abstract

In the present paper, a smart method is designed to classify healthy vs. from illness suffering ducks through the emission of their voices. Initially, the birds (based upon their health conditions) were divided into different categories with their voices being saved using a microphone along with data acquisition cards. Gained signals were transformed from time-domain signal to frequency domain, applying Fast Fourier Transform (FFT). Then, 5 statistical features were extracted from both time and frequency signals, namely, mean standard division, root mean square, variance and kurtosis. Two classifiers which are Artificial Neural Network (ANN) and Support Vector Machine (SVM) are used, to acquire the birds classified in healthy VS sick conditions. The accuracy of ANN classifier, in detection of healthy birds, within sick VS weak birds was respectively determined as 75% VS 82.1 % as based on the time and frequency domain of the SOUND SIGNALS. The accuracy of SVM classifier in detection of healthy birds within sick and weak birds was respectively determined 85.7 % and 92.8 % as based on the time and frequency domain of the SOUND SIGNALS.

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APA: Copy

KHAZAEE, MEGHDAD, & BANAKAR, AHMAD. (2016). DIAGNOSIS OF SICK DUCKS AS BASED ON THEIR VOICES AND THROUGH ARTIFICIAL INTELLIGENCE METHODS. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 47(2), 307-318. SID. https://sid.ir/paper/144399/en

Vancouver: Copy

KHAZAEE MEGHDAD, BANAKAR AHMAD. DIAGNOSIS OF SICK DUCKS AS BASED ON THEIR VOICES AND THROUGH ARTIFICIAL INTELLIGENCE METHODS. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2016;47(2):307-318. Available from: https://sid.ir/paper/144399/en

IEEE: Copy

MEGHDAD KHAZAEE, and AHMAD BANAKAR, “DIAGNOSIS OF SICK DUCKS AS BASED ON THEIR VOICES AND THROUGH ARTIFICIAL INTELLIGENCE METHODS,” IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 47, no. 2, pp. 307–318, 2016, [Online]. Available: https://sid.ir/paper/144399/en

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