References
- BOĎO, Š. – LÜTTMERDING, G. – GÁLIK, R. – KUNC, P. – KNÍŽKOVÁ, I. – GÜRDIL, G. A. K. 2022. Analysis of selected data from robotic milking regarding to heat stress of dairy cows. In Acta Technologica Agriculturae, vol. 25, no. 2, pp. 92–96. DOI: https://doi.org/10.2478/ata-2022-0015
- BREEN, M. – UPTON, J. – MURPHY, M. D. 2019. Development of a discrete infrastructure optimization model for economic assessment on dairy farms (DIOMOND). In Computers and Electronics in Agriculture, vol. 156, pp. 508–522. DOI: https://doi.org/10.1016/j.compag.2018.11.018
- BREEN, M. – UPTON, J. – MURPHY, M. D. 2020. Photovoltaic systems on dairy farms: Financial and renewable multi-objective optimization (FARMOO) analysis. In Applied Energy, vol. 278, article no. 115534. DOI: https://doi.org/10.1016/j.apenergy.2020.115534
- DEMING, J. A. – BERGERON, R. – LESLIE, K. E. – DEVRIES, T. J. 2013. Associations of housing, management, milking activity, and standing and lying behaviour of dairy cows milked in automatic systems. In Journal of Dairy Science, vol. 96, no. 1, pp. 344–351. DOI: https://doi.org/10.3168/jds.2012-5985
- DEW, J. J. W. – JACK, M. W. – STEPHENSON, J. – WALTON, S. 2021. Reducing electricity demand peaks on large-scale dairy farms. In Sustainable Production and Consumption, vol. 25, pp. 248–258. DOI: https://doi.org/10.1016/j.spc.2020.08.014
- HANSEN, B. G. – HERJE, H. O. – HÖVA, J. 2019. Profitability on dairy farms with automatic milking systems compared to farms with conventional milking systems. In International Food and Agribusiness Management Review, vol. 22, no. 2, pp. 215–228. DOI: https://doi.org/10.22434/IFAMR2018.0028
- HUYSVELD, S. – VAN LINDEN, V. – DE MEESTER, S. – PEIREN, N. – MUYLLE, H. – LAUWERS, L. – DEWULF, J. 2015. Resource use assessment of an agricultural system from a life cycle perspective – a dairy farm as case study. In Agricultural Systems, vol. 135, pp. 77–89. DOI: https://doi.org/10.1016/j.agsy.2014.12.008
- JAGO, J. – KERRISK, K. 2011. Training methods for introducing cows to a pasture-based automatic milking system. In Applied Animal Behaviour Science, vol. 131, no. 3–4, pp. 79–85. DOI: https://doi.org/10.1016/j.applanim.2011.02.002
- KOLENDA, M. – PIWCZYŃSKI, D. – BRZOZOWSKI, M. – SITKOWSKA, B. – WÓJCIK, P. 2021. Comparison of yield, composition and quality of milk of Polish Holstein-Friesian cows in conventional and automatic milking systems. In Annals of Animal Science, vol. 21, no. 2, pp. 709–720. DOI: https://doi.org/10.2478/aoas-2020-0101
- KYSELOVÁ, J. – JEČMÍNKOVÁ, K. – MATĚJÍČKOVA, J. – HANUŠ, O. – KOTT, T. – ŠTÍPKOVÁ, M. – KREJČOVÁ, M. 2019. Physiochemical characteristics and fermentation ability of milk from Czech Fleckvieh cows are related to genetic polymorphisms of β-casein, κ-casein, and β-lactoglobulin. In Asian-Australasian Journal of Animal Sciences, vol. 32, no. 1, pp. 14–22. DOI: https://doi.org/10.5713/ajas.17.0924
- LÜRZEL, S. – BARTH, K. – WINDSCHNURER, I. – FUTSCHIK, A. – WAIBLINGER, S. 2018. The influence of gentle interactions with an experimenter during milking on dairy cows‘ avoidance distance and milk yield, flow and composition. In Animal, vol. 12, no. 2, pp. 340–349. https://doi.org/10.1017/S1751731117001495
- NETO, A. J. S. – LOPES, D. D. C. 2020. Technical analysis of photovoltaic energy generation for supplying the electricity demand in Brazilian dairy farms. In Environment, Development and Sustainability, vol. 23, pp. 1355–1370. DOI: https://doi.org/10.1007/s10668-020-00624-1
- ÓZSVÁRI, L. – IVANYOS, D. 2021. Milking practices on commercial Holstein-Friesian farms. In Revista Brasileira de Zootecnia – Brazilian Journal of Animal Science, vol. 50, article no. e20200280. DOI: https://doi.org/10.37496/rbz5020200280
- PIWCZYŃSKI, D. – GONDEK, J. – SITKOWSKA, B. – KOLENDA, M. 2020. Comparison of results coming from automatic milking system in selected countries in Europe and U.S. In Journal of Central European Agriculture, vol. 21, no. 2, pp. 187–196. DOI: https://doi.org/10.5513/JCEA01/21.2.2559
- PŘIKRYL, M. – VACULÍK, P. – CHLÁDEK, L. – LIBICH, L. – SMETANOVA, I. 2016. The human factor’s impact on the process of milking. Agronomy Research, vol. 14, no. 5, pp. 1659–1670.
- SITKOWSKA, B. – KOLENDA, M. – PIWCZYŃSKI, D. 2020. Comparison of the fit of automatic milking system and test-day records with the use of lactation curves. In Asian-Australasian Journal of Animal Sciences, vol. 33, no. 3, pp. 408–415. DOI: https://doi.org/10.5713/ajas.19.0190
- SHINE, P. – UPTON, J. – SEFEEDPARI, P. – MURPHY, M. D. 2020. Energy consumption on dairy farms: A review of monitoring, prediction modelling, and analyses. In Energies, vol. 13, no. 5, pp. 1–25. DOI: https://doi.org/10.3390/en13051288
- STEFANOWSKA, J. – IPEMA, A. H. – HENDRIKS, M. M. W. B. 1999. The behaviour of dairy cows in an automatic milking system where selection for milking takes place in the milking stalls. In Applied Animal Behaviour Science, vol. 62, no. 2–3, pp. 99–114. DOI: https://doi.org/10.1016/S0168-1591(98)00229-9
- VACULÍK, P. – JEHLIČKA, T. – KAŽIMÍROVÁ, V. – SMEJTKOVÁ, A. 2021. Water consumption in the automatic milking systems. In Acta Technologica Agriculturae, vol. 24, no. 3, pp. 136–142. DOI: https://doi.org/10.2478/ata-2021-0023
- VACULÍK, P. – PRIKRYL, M. – BRADNA, J. – LIBICH, L. 2018. Energy consumption of milking pump controlled by frequency convertor during milking cycle. In Agronomy Research, vol. 16, no. 1, pp. 297–306. DOI: https://doi.org/10.15159/AR.18.016