Igor Yudaev

Papers

Total Citations

H-Index

About

Igor Yudaev is a researcher advancing precision livestock farming, with a primary focus on the automation and robotization of dairy production systems. His most-cited work, "Technology of Automatic Evaluation of Dairy Herd Fatness" (2023, 8 citations), addresses a critical bottleneck in modern dairy management: the need for real-time, non-invasive body condition scoring to optimize herd health and economic efficiency. By developing automated evaluation technologies, Yudaev’s research directly supports the global trend toward data-driven, robotized milk production. His contributions aim to increase milk yields while reducing labor costs and improving animal welfare through continuous monitoring. Though still early in his citation impact, Yudaev’s work is notable for its practical orientation—bridging sensor technology, animal science, and farm economics. His research is particularly relevant for students and practitioners seeking scalable solutions to enhance productivity in commercial dairy operations. As the dairy sector increasingly adopts smart farming tools, Yudaev’s focus on automated fatness evaluation positions him as a contributor to the next generation of efficient, technology-enabled livestock management.