Wildlife Communication

Authors

  • Kim Arild Steen Department of Engineering, Aarhus University
  • Ole Roland Therkildsen Department of Bioscience, Aarhus University
  • Henrik Karstoft Department of Engineering, Aarhus University
  • Ole Green Department of Engineering, Aarhus University

Keywords:

digital signal processing, pattern recognition, wildlife management, audio processing, video processing

Abstract

This report contains a progress report for the ph.d. project titled “Wildlife Communication”. The project focuses on investigating how signal processing and pattern recognition can be used to improve wildlife management in agriculture. Wildlife management systems used today experience habituation from wild animals which makes them ineffective. An intelligent wildlife management system could monitor its own effectiveness and alter its scaring strategy based on this.

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Published

2012-10-02

How to Cite

Steen, K. A., Therkildsen, O. R., Karstoft, H., & Green, O. (2012). Wildlife Communication. Technical Report Electronics and Computer Engineering, 1(7). Retrieved from https://tidsskrift.dk/ece/article/view/21222

Issue

Vol. 1 No. 7 (2012): Wildlife Communication

Section

Reports

License

Reproduction permitted provided the source is explicitly acknowledged.

The authors have all rights to the reports.