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Wireless sensor technology usage areas in livestock farming over the world and in Turkey

Yıl 2015, Cilt: 5 Sayı: 2, 933 - 942, 01.12.2015

Öz

In our century the greatest and most important innovations occur at telecommunication industry. Lately, telecommunication is a vital incident for people, they need to communicate basicly by transmitting files or chatting at every place like farms, homes, warehouses, stores, hospitals, schools and cafes. To provide these needs of people, the easiest and cheapest technology is wireless network technology. With the help of the wireless technology, people can share data whenever they want and wherever they are, even they are mobile. The technology allows us to connect workstations, laptops, mobile phones, handheld PCs and even bar code scanners. Besides, agriculture and farming is the backbone of a country, thus the farmers should follow the recent developments about technology to provide the needs of ever increasing human population with decreasing lands for agriculture and farming. Today, the basic aim is to lower the costs and provide healthy products as seed, farm animals, vegetables and fruits. In the paper, latest improvements in agriculture and farming is examined briefly, in the way of technological developments which are a few years old and new implementations over the world and in Turkey. The investigations are basicly focused on wireless sensor network usage since the sensor technology is very suitable for health and environment monitoring of both people and animals. In America and Europe, sensor technology is used for more than ten years intensively but in Turkey only big livestock farms use such a delicate and advantageous technology for only a few years, in spite of the computer and network using number of people permanently increases in Turkey. In the paper, it is mentioned that the construction of sensor systems in the farms is very easy and useful for the farmers’ budget and also for the economy of a country

Kaynakça

  • Chen Y, Shen W, Huo H, Xu Y. A smart gateway for health care system using wireless sensor network. In: the 4th International Conference on Sensor Technologies and Applications. IEEE Computer Society. 2010: 545-550.
  • Tanrıkulu Z, Ozturan M. Farmer’s beliefs about using mobile devices for livestock management: case of Turkey. Journal of animal and veterinary advances 2012; 11: 1546-1551.
  • Global association for the mobile telecoms industry working with companies. Assesment report of global market opportunity in 2012.GSMA 201 (April 2014)
  • Banerjee D, Biswas S, Daigle C, Siegford JM. Remote activity classification of hens using wireless body mounted sensors. In: the 9th International Conference on Wearable and Implantable Body Sensor Networks. IEEE Computer Society. 2012: 107-112.
  • Okada H, Itoh T, Suzuki K, Tatsuya T, Tsukamoto K. Simulation study on the wireless sensor-based monitoring system for rapid identification of avian influenza outbreaks at chicken farms. IEEE SENSORS Conference. 2010: 978-1-4244-8168-2/10.
  • Schoofs A, Daymand C, Sugar R, Mueller U, Lachenman A, Kamran SM, Gefflaut A, Thiem L, Schuster M. IP-based testbed for herd monitoring. IPSN’09. 2009: 978-1- 60558-371
  • Kwong K H, Sasloglou K, Goh HG, Wu TT, Stephen B, Gilroy M, Tachtatzis C, Glover IA, Michie C, Andonovic I. Adaptation of wireless sensor network for farming industries. IEEE. 2009: 978-1-4244-6314-5/09.
  • Nagll L, Schmitzl R, Warren S, Hildreth TS, Erickson H, Andresen D. Wearable sensor system for wireless state-of-health determination in cattle. In: the Proceedings of the 25th Annual lnternational Conference of the IEEE. 2003.
  • Kušar D, Ocepek M, Logar K, Pate M, Krt B. Seroprevalence of cattle paratuberculosis in Slovenia in 2008 and a comparison of data from current and previous studies. Slov Vet Res 2011;48: 39-44.
  • Alawneh JI, Stevenson MA, Williamson NB, Villalobos NL, Otley T. The effects of liveweight loss and milk production on the risk of lameness in a seasonally calving, pasture fed dairy herd in New Zealand. Preventive Veterinary Medicine 2014; 113: 72–79.
  • Herron ME, Lord LK, Husseini SE. Effects of preadoption counseling on the prevention of separation anxiety in newly adopted shelter dogs.Journal of Veterinary Behavior 2014;9:13-21.
  • Ceong H, Park JS, Han S. IT Convergence Application System for Eco Aquafarm. Frontiers in the Convergence of Bioscience and Information Technologies. IEEE Computer Society 2007: 0-7695-2999-2.
  • Zhang P, Sadler CM, Lyon SA, Martonosi M. Hardware design experiences in ZebraNet. In Proc. of SenSys. 2004.
  • Chiriac S, Roll N, Parada J, Rosales B. Towards combining validation concepts for short and long-term ambient health monitoring. In: the 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops 2012: 978-1-936968-43-5.
  • Postolache O, Girão PS, Pinheiro E, Pereira MD, Madeira R, Mendes J, Cunha M, Postolache G, Moura CM. Pervasive sensing and computing for wheelchairs users health assessment. In: Bioengineering (ENBENG) 2011: 1- 4.
  • Kifayat K, Fergus P, Cooper S, Merabti M. Body area networks for movement analysis in physiotherapy treatments. In: the 24th International Conference on Advanced Information Networking and Applications Workshops. IEEE Computer Society 2010: 978-0-7695- 4019-1/10.
  • Republic of Turkey Ministry of food, agriculture and livestock (TRMFAL). Community reports on farm animals and production rates in 2012. http://www.tarim.gov.tr/ Sayfalar/Anasayfa.aspx (April 2014)
  • Gumus Z. Design of broiler poultry houses under internal controlled environmental conditions with regard to agricultural structures for Çukurova region. Phd thesis 2009, Department of agrıcultural structures and irrigation institute of natural and applied sciences university of Çukurova.
  • The Ministry of Environmet and Urban Planning of Turkey (MEUPT). Community report of chicken and egg production capacity increase in a farm project in 2013. http://www. csb.gov.tr/db/ced/editordosya/Yarka_ ve_Yumurta_Tavukculugu_CED_ Raporu.pdf
  • Turkish Statistical Institute (TSI). Information and communication technology (ict) usage survey on households and individuals in 2013. http://www.turkstat.gov.tr/ PreHaberBultenleri.do?id=13569 (April 2014)
  • Boyacı S. Environmental condition control and solution proposals in broiler house in research farm of agriculture faculty,KSU. Msc thesis 2005, Unıversity of kahramanmaras sutcu imam institute of natural and applied sciences department of agriculture structure and irrigation.
  • Falchuk B. Visual and interaction design themes in mobile healthcare. In: the 6th Annual International Mobile and Ubiquitous Systems: Networking & Services, MobiQuitous. 2009: 978-963-9799-59-2.
Yıl 2015, Cilt: 5 Sayı: 2, 933 - 942, 01.12.2015

Öz

Kaynakça

  • Chen Y, Shen W, Huo H, Xu Y. A smart gateway for health care system using wireless sensor network. In: the 4th International Conference on Sensor Technologies and Applications. IEEE Computer Society. 2010: 545-550.
  • Tanrıkulu Z, Ozturan M. Farmer’s beliefs about using mobile devices for livestock management: case of Turkey. Journal of animal and veterinary advances 2012; 11: 1546-1551.
  • Global association for the mobile telecoms industry working with companies. Assesment report of global market opportunity in 2012.GSMA 201 (April 2014)
  • Banerjee D, Biswas S, Daigle C, Siegford JM. Remote activity classification of hens using wireless body mounted sensors. In: the 9th International Conference on Wearable and Implantable Body Sensor Networks. IEEE Computer Society. 2012: 107-112.
  • Okada H, Itoh T, Suzuki K, Tatsuya T, Tsukamoto K. Simulation study on the wireless sensor-based monitoring system for rapid identification of avian influenza outbreaks at chicken farms. IEEE SENSORS Conference. 2010: 978-1-4244-8168-2/10.
  • Schoofs A, Daymand C, Sugar R, Mueller U, Lachenman A, Kamran SM, Gefflaut A, Thiem L, Schuster M. IP-based testbed for herd monitoring. IPSN’09. 2009: 978-1- 60558-371
  • Kwong K H, Sasloglou K, Goh HG, Wu TT, Stephen B, Gilroy M, Tachtatzis C, Glover IA, Michie C, Andonovic I. Adaptation of wireless sensor network for farming industries. IEEE. 2009: 978-1-4244-6314-5/09.
  • Nagll L, Schmitzl R, Warren S, Hildreth TS, Erickson H, Andresen D. Wearable sensor system for wireless state-of-health determination in cattle. In: the Proceedings of the 25th Annual lnternational Conference of the IEEE. 2003.
  • Kušar D, Ocepek M, Logar K, Pate M, Krt B. Seroprevalence of cattle paratuberculosis in Slovenia in 2008 and a comparison of data from current and previous studies. Slov Vet Res 2011;48: 39-44.
  • Alawneh JI, Stevenson MA, Williamson NB, Villalobos NL, Otley T. The effects of liveweight loss and milk production on the risk of lameness in a seasonally calving, pasture fed dairy herd in New Zealand. Preventive Veterinary Medicine 2014; 113: 72–79.
  • Herron ME, Lord LK, Husseini SE. Effects of preadoption counseling on the prevention of separation anxiety in newly adopted shelter dogs.Journal of Veterinary Behavior 2014;9:13-21.
  • Ceong H, Park JS, Han S. IT Convergence Application System for Eco Aquafarm. Frontiers in the Convergence of Bioscience and Information Technologies. IEEE Computer Society 2007: 0-7695-2999-2.
  • Zhang P, Sadler CM, Lyon SA, Martonosi M. Hardware design experiences in ZebraNet. In Proc. of SenSys. 2004.
  • Chiriac S, Roll N, Parada J, Rosales B. Towards combining validation concepts for short and long-term ambient health monitoring. In: the 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops 2012: 978-1-936968-43-5.
  • Postolache O, Girão PS, Pinheiro E, Pereira MD, Madeira R, Mendes J, Cunha M, Postolache G, Moura CM. Pervasive sensing and computing for wheelchairs users health assessment. In: Bioengineering (ENBENG) 2011: 1- 4.
  • Kifayat K, Fergus P, Cooper S, Merabti M. Body area networks for movement analysis in physiotherapy treatments. In: the 24th International Conference on Advanced Information Networking and Applications Workshops. IEEE Computer Society 2010: 978-0-7695- 4019-1/10.
  • Republic of Turkey Ministry of food, agriculture and livestock (TRMFAL). Community reports on farm animals and production rates in 2012. http://www.tarim.gov.tr/ Sayfalar/Anasayfa.aspx (April 2014)
  • Gumus Z. Design of broiler poultry houses under internal controlled environmental conditions with regard to agricultural structures for Çukurova region. Phd thesis 2009, Department of agrıcultural structures and irrigation institute of natural and applied sciences university of Çukurova.
  • The Ministry of Environmet and Urban Planning of Turkey (MEUPT). Community report of chicken and egg production capacity increase in a farm project in 2013. http://www. csb.gov.tr/db/ced/editordosya/Yarka_ ve_Yumurta_Tavukculugu_CED_ Raporu.pdf
  • Turkish Statistical Institute (TSI). Information and communication technology (ict) usage survey on households and individuals in 2013. http://www.turkstat.gov.tr/ PreHaberBultenleri.do?id=13569 (April 2014)
  • Boyacı S. Environmental condition control and solution proposals in broiler house in research farm of agriculture faculty,KSU. Msc thesis 2005, Unıversity of kahramanmaras sutcu imam institute of natural and applied sciences department of agriculture structure and irrigation.
  • Falchuk B. Visual and interaction design themes in mobile healthcare. In: the 6th Annual International Mobile and Ubiquitous Systems: Networking & Services, MobiQuitous. 2009: 978-963-9799-59-2.
Toplam 22 adet kaynakça vardır.

Ayrıntılar

Diğer ID JA74BB75JC
Bölüm Makaleler
Yazarlar

Pınar Kırıcı Bu kişi benim

Yayımlanma Tarihi 1 Aralık 2015
Yayımlandığı Sayı Yıl 2015 Cilt: 5 Sayı: 2

Kaynak Göster

APA Kırıcı, P. (2015). Wireless sensor technology usage areas in livestock farming over the world and in Turkey. International Journal of Electronics Mechanical and Mechatronics Engineering, 5(2), 933-942.