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On Acoustic Monitoring of Farm Environments

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Advances in Signal Processing and Intelligent Recognition Systems (SIRS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 968))

Abstract

Green revolution suggests that agriculture systems, such as farms turn into dynamic entities boosting animal production in an eco-friendly way. In this direction, we propose exploiting the acoustic modality for farm monitoring. Such information could be used in a stand-alone or complimentary mode to monitor the farm constantly and provide a great level of detail. To this end, we designed a scheme classifying the vocalizations produced by farm animals. We employed a feature set able to capture diverse characteristics of generalized sound events seen from different domain representations (time, frequency, and wavelet). These are modeled using state of the art generative and discriminative classification schemes. We performed extensive experiments on a publicly available dataset, where we report encouraging recognition rates.

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Notes

  1. 1.

    Freely available at http://torch.ch/.

  2. 2.

    Freely available at https://sourceforge.net/projects/esnbox/.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Milan, via Celoria 18, 20133, Milan, Italy

    Stavros Ntalampiras

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  1. Stavros Ntalampiras
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Correspondence to Stavros Ntalampiras .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology and Management, Kerala, India

    Sabu M. Thampi

  2. Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA

    Oge Marques

  3. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Sri Krishnan

  4. Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. University of Naples Federico II, Naples, Italy

    Domenico Ciuonzo

  6. Electrical Engineering Department, Indian Institute of Technology Patna, Patna, India

    Maheshkumar H. Kolekar

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Ntalampiras, S. (2019). On Acoustic Monitoring of Farm Environments. In: Thampi, S., Marques, O., Krishnan, S., Li, KC., Ciuonzo, D., Kolekar, M. (eds) Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2018. Communications in Computer and Information Science, vol 968. Springer, Singapore. https://doi.org/10.1007/978-981-13-5758-9_5

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  • DOI: https://doi.org/10.1007/978-981-13-5758-9_5

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  • Print ISBN: 978-981-13-5757-2

  • Online ISBN: 978-981-13-5758-9

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