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Learning About Animals and Their Social Behaviors for Smart Livestock Monitoring

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Internet of Things. IoT Infrastructures (IoT360 2015)

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Abstract

Things are increasingly getting connected. Emerging with the Internet of Things, new applications are requiring more intelligence on these things, for them to be able to learn about their environment or other connected objects. One such domain of application is for livestock monitoring, in which farmers need to learn about animals, such as percentage of time they spend feeding, the occurrence of diseases, or the percentage of fat on their milk. Furthermore, it is also important to learn about group patterns, such as flocking behaviors, and individual deviations to group dynamics. This paper addresses this problem, by collection and processing each animal location and selecting appropriate metrics on the data, so that behaviors can be learned afterwards using machine learning techniques running on the cloud.

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Acknowledgments

Artur Arsenio work partly supported by CMU-Portuguese program through Fundação para Ciência e Tecnologia, AHA-Augmented Human Assistance project, AHA, CMUP-ERI/HCI/0046/2013CMU/2009.

Author information

Authors and Affiliations

  1. Instituto Superior Tecnico/Lisbon University, Lisbon, Portugal

    João Ambrosio

  2. Sensefinity, Rio de Mouro, Portugal

    João Ambrosio & Orlando Remédios

  3. Universidade da Beira Interior, IST-ID & InstinctRobotics, Covilhã, Portugal

    Artur M. Arsenio

Authors
  1. João Ambrosio
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  2. Artur M. Arsenio
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  3. Orlando Remédios
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Corresponding author

Correspondence to Artur M. Arsenio .

Editor information

Editors and Affiliations

  1. IBM Research , Haifa, Israel

    Benny Mandler

  2. CONNECT Centre, Trinity College, University of Dublin, Dublin, Ireland

    Johann Marquez-Barja

  3. GTA/PEE-COPPE/DEL-Poli, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Rio de Janeiro, Brazil

    Miguel Elias Mitre Campista

  4. Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, Trnava, Slovakia

    Dagmar Cagáňová

  5. Institut Télécom SudParis , Evry, France

    Hakima Chaouchi

  6. College of Communication and Information, University of Kentucky, Lexington, Kentucky, USA

    Sherali Zeadally

  7. College of Technological Innovation, Zayed University, Dubai, United Arab Emirates

    Mohamad Badra

  8. University of Pisa, Pisa, Holy See (Vatican City State)

    Stefano Giordano

  9. DICIEAMA Department, University of Messina, Messina, Italy

    Maria Fazio

  10. CREATE-NET , Trento, Italy

    Andrey Somov

  11. University of Trento , Trento, Italy

    Radu-Laurentiu Vieriu

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ambrosio, J., Arsenio, A.M., Remédios, O. (2016). Learning About Animals and Their Social Behaviors for Smart Livestock Monitoring. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 170. Springer, Cham. https://doi.org/10.1007/978-3-319-47075-7_53

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  • DOI: https://doi.org/10.1007/978-3-319-47075-7_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47074-0

  • Online ISBN: 978-3-319-47075-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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