Low-cost infrared sensor for wildlife detection in vegetation

Jakub Lev, Vadym Shapoval, Jan Bartoška and František Kumhála
Additional contact information
Jakub Lev: Department of Physics,
Vadym Shapoval: Department of Agricultural Machines, Faculty of Engineering, Czech University of Life Sciences Prague, Prague, Czech Republic
Jan Bartoška: Department of System Engineering, Faculty of Economic and Management, Czech University of Life Sciences Prague, Prague, Czech Republic
František Kumhála: Department of Agricultural Machines, Faculty of Engineering, Czech University of Life Sciences Prague, Prague, Czech Republic

Research in Agricultural Engineering, 2017, vol. 63, issue SpecialIssue, S13-S17

Abstract: The protection of wild animals from mutilation or being killed during haymaking is still a serious problem connected with high working speeds and widths of modern harvesting machines. That is why the main aim of this study was to test low-cost, high-speed and low-noise infrared array sensor Melexis MLX90621 for the application of wildlife detection with the potential to be used in front of the mower equipment. The tests with two different crops with or without a hidden dog were made. Results showed that the sensor is able to detect an animal hidden in the crop with very high probability. Nevertheless, direct sunlight conditions can cause the problems when using infrared technology. A simultaneous use of other sensors working on different principle than infrared technology can be thus recommended.

Keywords: haymaking; wild animals' protection; internet protocol camera; infrared array sensor (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://rae.agriculturejournals.cz/doi/10.17221/32/2017-RAE.html (text/html)
http://rae.agriculturejournals.cz/doi/10.17221/32/2017-RAE.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlrae:v:63:y:2017:i:specialissue:id:32-2017-rae

DOI: 10.17221/32/2017-RAE

Access Statistics for this article

Research in Agricultural Engineering is currently edited by Bc. Michaela Polcarová

More articles in Research in Agricultural Engineering from Czech Academy of Agricultural Sciences
Bibliographic data for series maintained by Ivo Andrle ().