Otomasyonun Süt Endüstrisindeki Yansımaları: Robotik Sağım Sistemleri Üzerine Bibliyometrik Analiz Yaklaşımı
Year 2025,
Volume: 14 Issue: 1, 123 - 134, 30.06.2025
Akdoğan Kaan Can Tekbilek
,
Ayşe Övgü Şen
,
Rabia Albayrak Delialioğlu
,
Desta Firdu Mekonnen
,
Yasin Altay
Abstract
Amaç: Bu çalışmanın amacı, robotik sağım sistemlerinin hayvancılık ve gıda endüstrisi açısından önemini vurgulamak ve mevcut çalışmaların kapsamlarını bibliyometrik analiz ile tespit etmektir.
Materyal ve Yöntem: Bu çalışmanın materyalini Web of Science veri tabanında bulunan 1989 ile 14.10.2024 tarihleri arasında yayınlanmış 460 bilimsel çalışmanın bibliyografik verileri oluşturmaktadır. Bu verilerin değerlendirilmesinde bibliyometrik analiz kullanılmıştır.
Araştırma Bulguları: İlgili alanda en fazla yayın yapan ülke 65 makale ile Amerika Birleşik Devletleri olup bunu Birleşik Krallık ve Kanada takip etmektedir. Bilimsel çalışma sayısı bakımından Journal of Dairy Science 104 makale ile dergiler arasında ön plana çıkmakla birlikte en çok atıf yapılan dergi konumundadır. Robotik sağım sistemleri üzerine hemen hemen her kıtada yoğun şekilde bilimsel çalışmalar yapılmıştır. Bu alanda 34 bilimsel makalesi bulunan Trevor J De Vries en üretken yazardır. En yaygın kullanılan anahtar kelimeler arasında “dairy-cows” (67), “behavior” (61), “yield” (58) ve “robotic milking” (50) ön plana çıkmaktadır. Bu anahtar kelimeler, robotik sağım sistemlerinin hayvan davranışları ve verim ile olan doğrudan ilişkisi nedeniyle bilimsel çalışmalarda odak noktası olarak görülmektedir.
Sonuç: Bu alandaki araştırmalar, hayvancılık endüstrisi alanında teknolojik gelişim potansiyeli göstermekte ve gelecekte bu konuların daha da fazla çalışılacağına işaret etmektedir.
References
- Alıç, D., & Metin Yener, S. (2006). Süt sığırcılığı işletmelerinde robotlu sağım sistemi. Journal of Agricultural Sciences, 12(04), 369-380.
- Alsharif, A. H., Salleh, N. Z. M. D., & Baharun, R. (2020). Bibliometric analysis. Journal of Theoretical and Applied Information Technology, 98(15), 2948-2962.
- Altay, Y., & Kaplan, S. (2023). Bibliometric analyzes of some major effect genes associated with meat yield traits in livestock. Selcuk Journal of Agriculture and Food Sciences, 37(3), 608-617.
- Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975.
- Bach, A., & Busto, I. (2005). Effects on milk yield of milking interval regularity and teat cup attachment failures with robotic milking systems. Journal of Dairy Research, 72(1), 101-106.
- Bijl, R., Kooistra, S. R., & Hogeveen, H. (2007). The profitability of automatic milking on Dutch dairy farms. Journal of Dairy Science, 90(1), 239-248.
- Bueno, A. L., & Czepielewski, M. A. (2008). The importance for growth of dietary intake of calcium and vitamin D. Jornal de pediatria, 84, 386-394.
- Butler, D., Holloway, L., & Bear, C. (2012). The impact of technological change in dairy farming: robotic milking systems and the changing role of the stockperson. Journal of the Royal Agricultural Society of England, 173(622), 1.
- Çelik, Ş. (2020). Bibliometrics Analysis and a Husbandry Practice. Journal of Multidisciplinary Engineering Science Studies (JMESS), 6(12), 3632-3641.
- Coşkun, G., Şahin, Ö., & Aytekin, İ. (2023). Robotik sağımda sürü yönetimi. Türkiye Tarımsal Araştırmalar Dergisi, 10(3), 361-371.
- De Koning, K., & Rodenburg, J. (2004). Automatic milking: State of the art in Europe and North America. Automatic Milking, a better understanding, 25-37.
- Givens, D. I. (2020). Milk Symposium review: The importance of milk and dairy foods in the diets of infants, adolescents, pregnant women, adults, and the elderly. Journal of dairy science, 103(11), 9681-9699.
- Glowicka-Woloszyn, R., Winnicki, S., & Jugowar, J. L. (2010). Krotność doju krów z zastosowaniem robota VMS firmy DeLaval. Nauka Przyroda Technologie, 4(1), 1.
- Gülmez, M., & Güven, A. (2002). Probiyotik, prebiyotik ve sinbiyotikler. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 8(1), 83-89.
- Han, J., Kang, H. J., Kim, M., & Kwon, G. H. (2020). Mapping the intellectual structure of research on surgery with mixed reality: Bibliometric network analysis (2000–2019). Journal of Biomedical Informatics, 109, 103516.
- Hogenboom, J. A., Pellegrino, L., Sandrucci, A., Rosi, V., & D'Incecco, P. (2019). Invited review: Hygienic quality, composition, and technological performance of raw milk obtained by robotic milking of cows. Journal of dairy science, 102(9), 7640-7654.
- Hogeveen, H., Heemskerk, K., & Mathijs, E. (2004). Motivations of Dutch farmers to invest in an automatic milking system or a conventional milking parlour. In Automatic milking, a better understanding (pp. 56-61). Wageningen Academic.
- Jacobs, J. A., & Siegford, J. M. (2012). Invited review: The impact of automatic milking systems on dairy cow management, behavior, health, and welfare. Journal of dairy science, 95(5), 2227-2247.
- Jago, J., & Kerrisk, K. (2011). Training methods for introducing cows to a pasture-based automatic milking system. Applied Animal Behaviour Science, 131(3-4), 79-85.
- Kaplan, S., & Altay, Y. (2023). Bibliometric analysis of next-generation sequence applications in livestock. Black Sea Journal of Agriculture, 6(5), 485-491.
- Nogalski, Z., Czerpak, K., & Pogorzelska, P. (2011). Effect of automatic and conventional milking on somatic cell count and lactation traits in primiparous cows. Ann. Anim. Sci, 11(3), 433-441.
- Onder, H., & Tırınk, C. (2022). Bibliometric analysis for genomic selection studies in animal science. Journal of the Institute of Science and Technology, 12(3), 1849-1856.
- Pereira, P. C. (2014). Milk nutritional composition and its role in human health. Nutrition, 30(6), 619-627.
- Piwczyński, D., Brzozowski, M., & Sitkowska, B. (2020). The impact of the installation of an automatic milking system on female fertility traits in Holstein-Friesian cows. Livestock Science, 240, 104140.
- Rotz, C. A., Coiner, C. U., & Soder, K. J. (2003). Automatic milking systems, farm size, and milk production. Journal of Dairy Science, 86(12), 4167-4177.
- Salovuo, H., Ronkainen, P., & Heino, A. (2005). Introduction of automatic milking system in Finland effect on milk quality. Agricultural and food science, 14(4), 346-353.
- Simões Filho, L. M., Lopes, M. A., Brito, S. C., Rossi, G., Conti, L., & Barbari, M. (2020). Robotic milking of dairy cows: a review. Semina: Ciências Agrárias, 41(6), 2833-2850.
- Team, R. C. (2020). RA language and environment for statistical computing, R Foundation for Statistical. Computing.
- Tse, C., Barkema, H. W., DeVries, T. J., Rushen, J., & Pajor, E. A. (2017). Effect of transitioning to automatic milking systems on producers' perceptions of farm management and cow health in the Canadian dairy industry. Journal of dairy science, 100(3), 2404-2414.
- Türkyılmaz, M. K. (2005). Süt sığırcılık işletmelerinde sağım robotu kullanımı. Erciyes Üniversitesi Veteriner Fakültesi Dergisi, 2(1), 61-65.
- Wade, K. M., Van Asseldonk, M. A. P. M., Berentsen, P. B. M., Ouweltjes, W., & Hogeveen, H. (2004). Economic efficiency of automatic milking systems with specific emphasis on increases in milk production. In Automatic milking, a better understanding (pp. 62-67). Wageningen Academic.
Reflections of Automation in the Dairy Industry: A Bibliometric Analysis Approach on Robotic Milking Systems
Year 2025,
Volume: 14 Issue: 1, 123 - 134, 30.06.2025
Akdoğan Kaan Can Tekbilek
,
Ayşe Övgü Şen
,
Rabia Albayrak Delialioğlu
,
Desta Firdu Mekonnen
,
Yasin Altay
Abstract
Objective: The main purpose of this study is to emphasize the importance of robotic milking systems for the livestock and food industry and to determine the scope of current studies by bibliometric analysis.
Materials and Methods: As the material of this study, bibliographic data of 460 scientific studies published between 1989 and 14.10.2024, which are currently available in the Web of Science database, were used. Bibliometric analysis was used in the evaluation of these data.
Results: The United States is the country with the most studies on the subject, with 65 articles. Following the United States, the United Kingdom and Canada were identified as other countries with a high number of studies. In terms of the number of scientific studies, Journal of Dairy Science stands out among journals with 104 articles. It is also the most cited journal. Scientific studies on the relevant subject have been carried out intensively in almost every continent. Trevor J DeVries is considered the most prolific author, having published 34 scientific articles on robotic milking systems. Among the most commonly used keywords, “dairy-cows” (67), “behavior” (61), “yield” (58) and “robotic milking” (50) stand out. These keywords are seen as a focal point in scientific studies due to the high relationship of robotic milking systems with animal behavior and productivity. This study aims to provide a valuable resource for academics and researchers by deepening the knowledge on robotic milking systems.
Conclusion: The research conducted points to a significant potential in both academic and industrial fields, and it is anticipated that future studies will take this potential even further.
References
- Alıç, D., & Metin Yener, S. (2006). Süt sığırcılığı işletmelerinde robotlu sağım sistemi. Journal of Agricultural Sciences, 12(04), 369-380.
- Alsharif, A. H., Salleh, N. Z. M. D., & Baharun, R. (2020). Bibliometric analysis. Journal of Theoretical and Applied Information Technology, 98(15), 2948-2962.
- Altay, Y., & Kaplan, S. (2023). Bibliometric analyzes of some major effect genes associated with meat yield traits in livestock. Selcuk Journal of Agriculture and Food Sciences, 37(3), 608-617.
- Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975.
- Bach, A., & Busto, I. (2005). Effects on milk yield of milking interval regularity and teat cup attachment failures with robotic milking systems. Journal of Dairy Research, 72(1), 101-106.
- Bijl, R., Kooistra, S. R., & Hogeveen, H. (2007). The profitability of automatic milking on Dutch dairy farms. Journal of Dairy Science, 90(1), 239-248.
- Bueno, A. L., & Czepielewski, M. A. (2008). The importance for growth of dietary intake of calcium and vitamin D. Jornal de pediatria, 84, 386-394.
- Butler, D., Holloway, L., & Bear, C. (2012). The impact of technological change in dairy farming: robotic milking systems and the changing role of the stockperson. Journal of the Royal Agricultural Society of England, 173(622), 1.
- Çelik, Ş. (2020). Bibliometrics Analysis and a Husbandry Practice. Journal of Multidisciplinary Engineering Science Studies (JMESS), 6(12), 3632-3641.
- Coşkun, G., Şahin, Ö., & Aytekin, İ. (2023). Robotik sağımda sürü yönetimi. Türkiye Tarımsal Araştırmalar Dergisi, 10(3), 361-371.
- De Koning, K., & Rodenburg, J. (2004). Automatic milking: State of the art in Europe and North America. Automatic Milking, a better understanding, 25-37.
- Givens, D. I. (2020). Milk Symposium review: The importance of milk and dairy foods in the diets of infants, adolescents, pregnant women, adults, and the elderly. Journal of dairy science, 103(11), 9681-9699.
- Glowicka-Woloszyn, R., Winnicki, S., & Jugowar, J. L. (2010). Krotność doju krów z zastosowaniem robota VMS firmy DeLaval. Nauka Przyroda Technologie, 4(1), 1.
- Gülmez, M., & Güven, A. (2002). Probiyotik, prebiyotik ve sinbiyotikler. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 8(1), 83-89.
- Han, J., Kang, H. J., Kim, M., & Kwon, G. H. (2020). Mapping the intellectual structure of research on surgery with mixed reality: Bibliometric network analysis (2000–2019). Journal of Biomedical Informatics, 109, 103516.
- Hogenboom, J. A., Pellegrino, L., Sandrucci, A., Rosi, V., & D'Incecco, P. (2019). Invited review: Hygienic quality, composition, and technological performance of raw milk obtained by robotic milking of cows. Journal of dairy science, 102(9), 7640-7654.
- Hogeveen, H., Heemskerk, K., & Mathijs, E. (2004). Motivations of Dutch farmers to invest in an automatic milking system or a conventional milking parlour. In Automatic milking, a better understanding (pp. 56-61). Wageningen Academic.
- Jacobs, J. A., & Siegford, J. M. (2012). Invited review: The impact of automatic milking systems on dairy cow management, behavior, health, and welfare. Journal of dairy science, 95(5), 2227-2247.
- Jago, J., & Kerrisk, K. (2011). Training methods for introducing cows to a pasture-based automatic milking system. Applied Animal Behaviour Science, 131(3-4), 79-85.
- Kaplan, S., & Altay, Y. (2023). Bibliometric analysis of next-generation sequence applications in livestock. Black Sea Journal of Agriculture, 6(5), 485-491.
- Nogalski, Z., Czerpak, K., & Pogorzelska, P. (2011). Effect of automatic and conventional milking on somatic cell count and lactation traits in primiparous cows. Ann. Anim. Sci, 11(3), 433-441.
- Onder, H., & Tırınk, C. (2022). Bibliometric analysis for genomic selection studies in animal science. Journal of the Institute of Science and Technology, 12(3), 1849-1856.
- Pereira, P. C. (2014). Milk nutritional composition and its role in human health. Nutrition, 30(6), 619-627.
- Piwczyński, D., Brzozowski, M., & Sitkowska, B. (2020). The impact of the installation of an automatic milking system on female fertility traits in Holstein-Friesian cows. Livestock Science, 240, 104140.
- Rotz, C. A., Coiner, C. U., & Soder, K. J. (2003). Automatic milking systems, farm size, and milk production. Journal of Dairy Science, 86(12), 4167-4177.
- Salovuo, H., Ronkainen, P., & Heino, A. (2005). Introduction of automatic milking system in Finland effect on milk quality. Agricultural and food science, 14(4), 346-353.
- Simões Filho, L. M., Lopes, M. A., Brito, S. C., Rossi, G., Conti, L., & Barbari, M. (2020). Robotic milking of dairy cows: a review. Semina: Ciências Agrárias, 41(6), 2833-2850.
- Team, R. C. (2020). RA language and environment for statistical computing, R Foundation for Statistical. Computing.
- Tse, C., Barkema, H. W., DeVries, T. J., Rushen, J., & Pajor, E. A. (2017). Effect of transitioning to automatic milking systems on producers' perceptions of farm management and cow health in the Canadian dairy industry. Journal of dairy science, 100(3), 2404-2414.
- Türkyılmaz, M. K. (2005). Süt sığırcılık işletmelerinde sağım robotu kullanımı. Erciyes Üniversitesi Veteriner Fakültesi Dergisi, 2(1), 61-65.
- Wade, K. M., Van Asseldonk, M. A. P. M., Berentsen, P. B. M., Ouweltjes, W., & Hogeveen, H. (2004). Economic efficiency of automatic milking systems with specific emphasis on increases in milk production. In Automatic milking, a better understanding (pp. 62-67). Wageningen Academic.