12 citations as recorded by crossref.

1. Biometric Physiological Responses from Dairy Cows Measured by Visible Remote Sensing Are Good Predictors of Milk Productivity and Quality through Artificial Intelligence S. Fuentes et al. 10.3390/s21206844
2. Ergonomic and economic indicators of milk production using different cow milking technologies O. Borshch et al. 10.33245/2310-9289-2023-178-1-6-12
3. Recent Advancements in Agriculture Robots: Benefits and Challenges C. Cheng et al. 10.3390/machines11010048
4. The influence of different types of milking units on milk quality and safety A. Vovkohon et al. 10.33245/2310-9289-2019-147-1-118-125
5. Association of automatic milking systems milking frequency in primiparous and multiparous cows with their yield and milkability M. Bogucki et al. 10.1080/09064702.2017.1388438
6. Indicators of the behavior of highly productive cows under the conditions of using feed stations S. Les et al. 10.32718/ujvas6-3.07
7. Customized recommendations for production management clusters of North American automatic milking systems M. Tremblay et al. 10.3168/jds.2015-10153
8. Detection of high levels of somatic cells in milk on farms equippedwith an automatic milking system by decision trees technique B. SITKOWSKA et al. 10.3906/vet-1607-78
9. Robotic milking of dairy cows: a review L. Simões Filho et al. 10.5433/1679-0359.2020v41n6p2833
10. Comparison of yield, composition and quality of milk of Polish Holstein-Friesian cows in conventional and automatic milking systems M. Kolenda et al. 10.2478/aoas-2020-0101
11. Comparison of Parameters of Automatic Milking in Selected Countries in European Union and United States D. PIWCZYŃSKI et al. 10.46897/livestockstudies.610101
12. PRODUCTIVITY AND BEHAVIOR OF COWS OF DIFFERENT AGES WITH CHANGED MILKING TECHNOLOGY O. Borshch et al. 10.32900/2312-8402-2021-126-36-44