Javier Bueno

Papers

Total Citations

110

H-Index

About

Javier Bueno is a leading researcher in dairy science, specializing in the optimization of automatic milking systems (AMS) and precision livestock farming. His work focuses on enhancing the efficiency and sustainability of modern dairy operations through data-driven analysis of milking technology. Bueno’s most influential contribution is his 2012 study on estimating efficiency in automatic milking systems, which has garnered over 110 citations. In this landmark paper, he analyzed milking data from 34 single AMS units across 29 Galician dairy farms, examining key variables such as cow numbers, milk yield, milking frequency, actual and rejected milking times, and cleaning intervals. By quantifying system capacity under real-world conditions, Bueno provided critical insights for farmers and engineers to improve AMS performance and reduce operational bottlenecks. His research has helped bridge the gap between theoretical system design and practical farm management, directly impacting dairy productivity and animal welfare. Bueno’s work is widely recognized for its practical relevance, making him a key figure in the advancement of automated dairy technologies.