Low-cost infrared sensor for wildlife detection in vegetation

https://doi.org/10.17221/32/2017-RAECitation:Lev J., Shapoval V., Bartoška J., Kumhála F. (2017): Low-cost infrared sensor for wildlife detection in vegetation. Res. Agr. Eng., 63: S13-S17.
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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.
Diethl H., Tank V., Tank A.-D. (1991): Wildlife detection system for mowing or reaping machine – uses infrared sensors extending across machine working width providing signal for activating scare alarm. Patent No. CH677308. European Patent Office.
Gaillard J.-M., Andersen R., Delorme D., Linnell J. D. C. (1998): FAMILY EFFECTS ON GROWTH AND SURVIVAL OF JUVENILE ROE DEER. Ecology, 79, 2878-2889  https://doi.org/10.1890/0012-9658(1998)079[2878:FEOGAS]2.0.CO;2
Green C. (1998): Reducing Mortality of Grassland Wildlife During Haying and Wheat-Harvesting Operations. Division of Agricultural Sciences and Natural Resources, Oklahoma State University, OSU Extension Wildlife and Forestry, 1–4.
Israel M. (2014): Method for detecting living organism i.e. wild animals, from air in agricultural field, involves determining image light and shadow areas in examining region, and checking image characteristic areas in detected light and shadow areas. Patent No. DE102012221580. European Patent Office.
Israel M., Schlagenhauf G., Fackelmeier A., Haschberger P. (2010): Study on wildlife detection during pasture mowing. Available at http://elib.dlr.de/65977/1/WildretterVDIv4.pdf
Jarnemo A. (2002): Roe deer Capreolus capreolus fawns and mowing – mortality rates and countermeasures. Wildlife Biology, 8: 211–218.
Jarnemo A. (2004): Neonatal mortality in roe deer. PhD thesis, Swedish University of Agricultural Sciences, Uppsala.
JARNEMO ANDERS, LIBERG OLOF, Morgart (2005): RED FOX REMOVAL AND ROE DEER FAWN SURVIVAL—A 14-YEAR STUDY. Journal of Wildlife Management, 69, 1090-1098  https://doi.org/10.2193/0022-541X(2005)069[1090:RFRARD]2.0.CO;2
Jørgensen R.N., Steen K.A., Olesen C.R. (2015): Method for removing animals from a field. Patent No. WO2015188831. European Patent Office.
Junker W. (1986): Mowing machine with an animal-protection device. Patent No. CH657247. European Patent Office.
Kittler L. (1979): Game losses resulting from the introduction of farm machinery, estimated for the hunting year 1976/77 in North Rhine Wetphalia. Zeitschrift fur Jagrdwissenschaft, 25: 22–32.
Rudol P., Doherty P. (2008): Human Body detection and geolocalization for UAV search and rescue missions using color and thermal imagery. Department of Computer and Information Science Linkoping University, IEEEAC Paper No. 1274: 1–8.
Svensson L., Klangeryd K. (1995): To a vehicle mounted warning device. Patent No. WO9510933. European Patent Office.
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