Papers

4

Total Citations

9

H-Index

2

About

R.R. Khisamov is a leading researcher in the digital transformation of dairy cattle breeding, with a focused expertise in robotic milking systems and precision livestock farming. His work centers on optimizing animal selection and management for automated milking environments, addressing critical challenges in Russia’s push toward “precise” animal husbandry. Khisamov’s major contributions include evaluating and selecting cows based on udder morphofunctional properties and stress resistance—key factors for successful robotic milking adaptation. His 2023 study on dairy robotic milking systems, with 3 citations, provides foundational insights into digitalization’s role in improving efficiency and animal welfare. Additionally, his research on lactation activities in first-calf cows (2020, 2 citations) and stress resistance evaluation (2022, 2 citations) has advanced understanding of how breed-specific traits, such as those in Kholmogory and Holstein cows, influence milking performance in automated systems. Though his citation counts are modest, Khisamov’s work is pivotal for practical applications in Tatarstan’s farms, bridging technology and animal science. His studies offer actionable guidelines for farmers transitioning to robotic milking, making him a key figure in modernizing Russian dairy operations through data-driven selection and management strategies.

Research Focus

Key Achievements

2
H-Index
4
Papers
9
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Dairy robotic milking system
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Kazan State Academy of Veterinary Medicine named after N.E. Bauman

Top Papers

  1. 1
    Dairy robotic milking system
    3 citations · 2023
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 0 days ago