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Animal Care Automated System

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
S. O. Ogunlere, S. A. Fagbohun, O. K. Iwala
10.5120/ijca2017915674

S O Ogunlere, S A Fagbohun and O K Iwala. Animal Care Automated System. International Journal of Computer Applications 177(2):23-30, November 2017. BibTeX

@article{10.5120/ijca2017915674,
	author = {S. O. Ogunlere and S. A. Fagbohun and O. K. Iwala},
	title = {Animal Care Automated System},
	journal = {International Journal of Computer Applications},
	issue_date = {November 2017},
	volume = {177},
	number = {2},
	month = {Nov},
	year = {2017},
	issn = {0975-8887},
	pages = {23-30},
	numpages = {8},
	url = {http://www.ijcaonline.org/archives/volume177/number2/28600-2017915674},
	doi = {10.5120/ijca2017915674},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

In the field of animal care, farmers have made several breakthroughs, making sure animals are well fed at the right time and not being neglected. However, there is yet much problem in the homes and other areas where animals are being used. Radio Frequency Identifier (RFID) are being used mostly in farms to identify the animals in case of theft, and in order to recognize and differentiate the animals. However, that does not help in making sure they are fed at the right time and adequately taken care off when their owners are not available to do so. This study focuses on solving the problem of adequately caring for pets and animals either by feeding, checking their wellbeing, and other challenges associated with their welfare through mobile device system using intelligent RFID technology that can handle these responsibilities without human intervention. The study adopted an approach of assigning RFID tags to different animals, so as to observe behavior and other key wellbeing measures that offer a comprehensive depiction of animal welfare. Analysis of such data make available a range of insights cherished to the pet owner.

References

  1. Blokhuis H.J., Jones R. B., Geers R., Miele M. & Veissier I., (2003). Animal welfare; Proceedings of the 2nd International workshop on the assessment of animal welfare at farm and group level; UFAW-The old school, Brewhouse Hill, Wheathampstead, Herzts, AL4 84N, UK, Vol. 12, No4, pp.445-455
  2. Morgan K. N., Tromborg C. T., (2007). Sources of stress in capacity - Applied Animal Behaviour Science 102, Department of Psycology, Sacramento City College, CA 95822 USA, pp. 262-302
  3. Butterworth A., Blokhuis H. J., (2005). Welfare quality scince and society improving animal welfare – Conference proceedings, Brussels, Belguim
  4. Harst J. E., Spruijt B. M., (2012). Proceedings of Measuring Behavior, 8th International Conference on Methods and Techniques in Behavioral Research, Utrecht. The Netherlands
  5. Evodarek, (2012). Automation in livestock farming –A technological revolution, International Journal of Advanced Research, Volume 3, Issue 5, pp. 1335- 1344
  6. Singh S. P, Winsper C., Wolke D., & Bryyson A., (2014). School Mobility and Prospective Pathways to Psychotic-like Symptoms in Early Adolescence: A Prospective Birth Cohort Study, Journal of the American Academy of Child & Adolescent Psychiatry, Vol. 53
  7. Cattaneo, M. (2009). Automation and Electronic Equipment. In: Agricultural Mechanization and Automatic. France: EOLSS Publishers Co Ltd.
  8. Hamadani H., Khan A. A., (2015). Automation in livestock farming – A technological revolution, International Journal of Advanced Research, Vol. 3, Issue 5, pp. 1335 – 1344
  9. Nagletal. (2003). Monitoring and classifying the behavior of a herd of sheep using ad hoc wireless sensor networks and artificial intelligence, 7th World Congress on Computers in Agriculture and Natural Resources Conference Proceedings .
  10. Taylor, K. M., (2004). TinyDB by remote. Sydney, Australia: Australian Mote Users’ Workshop, Automated Assessment of Animal Health and Wellbeing
  11. Haapala, H. (2003). Operation of electronic identication of cattle in Finland. The Proceedings of the 4th European Conference in Precision Agriculture.
  12. Grothmann, A. N. (2012). Automatic feeding systems for dairy cattle – potential for optimization in dairy farming. Valencia, Spain
  13. Voulodimos C. Z., (2010). A complete farm management system based on animal identification using RFID. Computers and Electronics in Agriculture, Vol. 70, Issue 2, pp. 380-388.
  14. Oates B. J. (2009). Researching Information Systems and Computing, London EC1Y ISP, Sage
  15. Akram A., Omar H., & Al-Zaubi A. Y., [2011]. RFID design, simulation, and implementation – Proceedings of ASEE, Northeast Section Annual Conference, University of Hartford

Keywords

Radio Frequency Identifier, Animal wellbeing, Passive and active tags, Validation of images, Animal care robotic system.