Abstract
Bu araştırmada, robotik sağım sistemli (RMS) çiftliklerin Türkiye’de nasıl tasarlandığı ve yönetildiğini belirlemek amaçlanmıştır. Araştırmanın yapıldığı dönemde tümü ithal ürün olan üç farklı marka RMS tespit edilmiş olup, bu sistemlerin kurulduğu süt çiftlikleriyle 65 adet sorudan oluşan bir çevrimiçi anket yapılmıştır. Anket soruları sırasıyla çiftlik ve robotik sağım sistemi bilgileri, besleme, meme sağlığı, çiftlik ve robot hijyeni, robot/inek yönetimi ve süt üretimi gibi ana başlıklar altında sorulmuştur. Anket için 73 adet çiftlik ile görüşülmüş ve 2024 yılı Ağustos ayı sonuna kadar 39 adet çiftlikten dönüş sağlanmıştır.Araştırma sonuçlarına göre, anketi cevaplandıran çiftliklerde toplam 109 adet robotik sağım sistemi bildirilmiştir. Çiftliklerin %46’sının tek robotlu, %26’sının ise iki robotlu planlandığı, kalan %28’inin ise 3 ve üzeri robota sahip olduğu görülmüştür. Araştırmada çiftliklerin %74’ü serbest inek trafiğini, %26’sı ise zorunlu trafik sistemini tercih etmişlerdir. Ayrıca çiftliklerin %67’si ineklerini gruplandırmadığı, %54’ü de doğrudan düve ile faaliyete başladığını belirtmiştir. Robotlu sağıma geçtikten sonra hayvanlarını elden çıkaran çiftliklerin oranı %62 olarak tespit edilmiştir. Robot sistemin satın alınma sebeplerine en fazla verilen cevaplar sırasıyla, süt üretimini artırması, minimum çalışma saatleri, meme sağlığını iyileştirmesi ve ilave işgücü olmadan sürüyü büyütme olanağı olmuştur. Çiftliklerin %92’si robot sistemin beklentilerini büyük oranda karşıladığını ve çok memnun olduklarını belirtmişlerdir. Ankete katılan tüm RMS kullanıcıları, robot sisteme geçişlerinin kendileri ve inekleri için stres seviyelerini azalttığını, RMS sayesinde çiftlik içindeki diğer idari görevlere ve en önemlisi de kendileri ve aileleri için daha fazla zaman ayırdıklarını belirtmişlerdir.
Ethical Statement
Araştırma çalışması doğrudan hayvanlar üzerinde olmamasına rağmen, etik kurul kararı her ihtimale karşı alınmış ve dosyalar menüsüne eklenmiştir.
Project Number
Yok
References
- Akar Çıkrıkçı, C. (2019). Türkiye’de Robotik Sağım Sistemiyle Çalışan İşletmelerin Sürü Yönetim Performans Değerlerinin Belirlenmesi. Tekirdağ Namık Kemal Üniversitesi. Fen Bilimleri Enstitüsü, Biyosistem Mühendisliği Anabilim Dalı, Yüksek Lisans Tezi. (Danışman Prof.Dr. Erkan Gönülol), 32 s.
- Anonim, (2023). Market Research Report-Milking Robots Market. The Brainy Insights, Report ID:TBI-13463, May, 2023, 236 s. https://www.thebrainyinsights.com /report/milking-robots-market-13463#methodology (Giriş tarihi: 10.04.2024)
- Castro, A., Pereira, J.M., Amiama, C., & Bueno, J. (2012). Estimating efficiency in automatic milking systems. Journal of Dairy Science, 95, 929-936.
- Castro, A., Pereira, J. M., Amiama, C., & Bueno, J. (2015). Typologies of dairy farms with automatic milking system in northwest Spain and farmers’ satisfaction. Italian Journal of Animal Science, 14(2), 210-219. http://dx.doi.org/10.4081/ijas.2015.3559
- De Jong, W., Finnema, A., & Reinemann, D.J. (2003). Survey of management practices of farms using automatic milking systems in North America. In 2003 ASAE Annual Meeting (p. 1). American Society of Agricultural and Biological Engineers.
- Dohmen, W., Neijenhuis, F., & Hogeveen, H. (2010). Relationship between udder health and hygiene on farms with an automatic milking system. Journal of Dairy Science, 93(9), 4019-4033.
- Gaworski, M., Leola, A., Sada, O., Kic, P., & Prikulis, J. (2016). Effect of cow traffic and herd size on cow performance and automatic milking systems capacity. Agronomy Research, 14, 33-40.
- Ipema, A.H. (1997). Integration of robotic milking in dairy housing review of cow traffic and milking capacity aspects. Computer and Electronics in Agriculture, 17, 79-94, Elsevier 0168-1699/97, the Netherlands.
- KKB, (2022). Türkiye Tarımsal Görünüm Saha Araştırması. Kredi Kayıt Bürosu (KKB), 45 s. (s.21) https://www.kkb.com.tr/Resources/ContentFile/KKB_2022_TARIMSAL_GORUNUM_SAHA_ARASTIRMA_KASIM_2022.pdf (Giriş tarihi: 24.03.2024)
- Lauwere, C.K. (1999). Cow Behavior and Managerial Aspects of Fully Automatic Milking Loose Housing Systems, Ph.D. tehesis, Waheningen University, Netherlands.
- Laurs, A., Priekulis, J., & Purins, M. (2009). Studies of operating parameters in milking robots. 8th Conference “Engineering for Rural Development” Jelgava: LLU, 2009, p. 38-42.
- Markey, C. (2013). Effect of cow traffic system on cow performance and AMS capacity. Degree Project in Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden, 30 pp.
- Rodriguez, F. (2012). Choosing the right cow traffic system for your robotic dairy. Progressive Dairyman Magazine, (http://www.progressivedairy.com) (Giriş tarihi: 03.03.2024)
- Unal, H., & Kuraloglu, H. (2015). Determination of operating parameters in milking robots with free cow traffic. 14th Conference “Engineering for Rural Development” Jelgava: LLU, 2014, p. 234-240.
- Unal, H., Kuraloglu, H., Koyuncu, M., & Alibas, K. (2017). Effect of cow traffic type on automatic milking system performance in dairy farms. Journal of Animal and Plant Sciences, 27, 1454-1463.
Abstract
This study aimed to determine how farms with robotic milking systems (RMS) are designed and managed in Türkiye. At the time of the research, three different brands of RMS, all imported products, were identified and an online survey consisting of 65 questions was conducted with dairy farms where these systems were installed. The survey questions were asked under main headings such as farm and robotic milking system information, feeding, udder health, farm and robot hygiene, robot/cow management and milk production. For the survey, 73 farms were interviewed and 39 farms returned by the end of August 2024.According to the results of the research, a total of 109 robotic milking systems were reported in the farms that answered the questionnaire. It was seen that 46% of the farms were planned with one robot, 26% with two robots, and the remaining 28% had 3 or more robots. In the study, 74% of the farms preferred free cow traffic and 26% preferred forced traffic system. In addition, 67% of the farms stated that they did not group their cows and 54% stated that they started their activities directly with heifers. The rate of farms that disposed of their animals after switching to robotic milking was 62%. The most common answers to the reasons for purchasing the robot system were, respectively, increasing milk production, minimum working hours, improving udder health, and the opportunity to expand the herd without additional labor. 92% of the farms stated that the robot system met their expectations to a great extent and they were very satisfied. All RMS users surveyed stated that their transition to the robotic system has reduced stress levels for themselves and their cows, and thanks to RMS, they have more time for other administrative tasks on the farm and most importantly, more time for themselves and their families.
Project Number
Yok
References
- Akar Çıkrıkçı, C. (2019). Türkiye’de Robotik Sağım Sistemiyle Çalışan İşletmelerin Sürü Yönetim Performans Değerlerinin Belirlenmesi. Tekirdağ Namık Kemal Üniversitesi. Fen Bilimleri Enstitüsü, Biyosistem Mühendisliği Anabilim Dalı, Yüksek Lisans Tezi. (Danışman Prof.Dr. Erkan Gönülol), 32 s.
- Anonim, (2023). Market Research Report-Milking Robots Market. The Brainy Insights, Report ID:TBI-13463, May, 2023, 236 s. https://www.thebrainyinsights.com /report/milking-robots-market-13463#methodology (Giriş tarihi: 10.04.2024)
- Castro, A., Pereira, J.M., Amiama, C., & Bueno, J. (2012). Estimating efficiency in automatic milking systems. Journal of Dairy Science, 95, 929-936.
- Castro, A., Pereira, J. M., Amiama, C., & Bueno, J. (2015). Typologies of dairy farms with automatic milking system in northwest Spain and farmers’ satisfaction. Italian Journal of Animal Science, 14(2), 210-219. http://dx.doi.org/10.4081/ijas.2015.3559
- De Jong, W., Finnema, A., & Reinemann, D.J. (2003). Survey of management practices of farms using automatic milking systems in North America. In 2003 ASAE Annual Meeting (p. 1). American Society of Agricultural and Biological Engineers.
- Dohmen, W., Neijenhuis, F., & Hogeveen, H. (2010). Relationship between udder health and hygiene on farms with an automatic milking system. Journal of Dairy Science, 93(9), 4019-4033.
- Gaworski, M., Leola, A., Sada, O., Kic, P., & Prikulis, J. (2016). Effect of cow traffic and herd size on cow performance and automatic milking systems capacity. Agronomy Research, 14, 33-40.
- Ipema, A.H. (1997). Integration of robotic milking in dairy housing review of cow traffic and milking capacity aspects. Computer and Electronics in Agriculture, 17, 79-94, Elsevier 0168-1699/97, the Netherlands.
- KKB, (2022). Türkiye Tarımsal Görünüm Saha Araştırması. Kredi Kayıt Bürosu (KKB), 45 s. (s.21) https://www.kkb.com.tr/Resources/ContentFile/KKB_2022_TARIMSAL_GORUNUM_SAHA_ARASTIRMA_KASIM_2022.pdf (Giriş tarihi: 24.03.2024)
- Lauwere, C.K. (1999). Cow Behavior and Managerial Aspects of Fully Automatic Milking Loose Housing Systems, Ph.D. tehesis, Waheningen University, Netherlands.
- Laurs, A., Priekulis, J., & Purins, M. (2009). Studies of operating parameters in milking robots. 8th Conference “Engineering for Rural Development” Jelgava: LLU, 2009, p. 38-42.
- Markey, C. (2013). Effect of cow traffic system on cow performance and AMS capacity. Degree Project in Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden, 30 pp.
- Rodriguez, F. (2012). Choosing the right cow traffic system for your robotic dairy. Progressive Dairyman Magazine, (http://www.progressivedairy.com) (Giriş tarihi: 03.03.2024)
- Unal, H., & Kuraloglu, H. (2015). Determination of operating parameters in milking robots with free cow traffic. 14th Conference “Engineering for Rural Development” Jelgava: LLU, 2014, p. 234-240.
- Unal, H., Kuraloglu, H., Koyuncu, M., & Alibas, K. (2017). Effect of cow traffic type on automatic milking system performance in dairy farms. Journal of Animal and Plant Sciences, 27, 1454-1463.
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Biosystem, Precision Agriculture Technologies, Agricultural Machine Systems, Animal Management |
| Journal Section | Research Article |
| Authors | |
| Project Number | Yok |
| Publication Date | April 16, 2025 |
| Submission Date | September 19, 2024 |
| Acceptance Date | January 27, 2025 |
| Published in Issue | Year 2025 Volume: 12 Issue: 2 |
