Papers

3

Total Citations

31

H-Index

3

About

J.I. Gargiulo is a leading researcher in pasture-based dairy systems, specializing in the integration of automatic milking systems (AMS) and robotic technology to enhance farm productivity and profitability. Her work critically examines the physical and economic performance of AMS compared to conventional milking, addressing why adoption rates in pasture-based settings lag behind expectations. In her most cited study (2020, 22 citations), she provides a comprehensive comparison of AMS and conventional systems, highlighting key trade-offs in labor, yield, and cost. Her 2022 follow-up (6 citations) identifies the physical factors—such as milking frequency and grazing management—that drive profitability variability among AMS farms, offering actionable insights for optimization. Gargiulo’s 2021 review on technology and robotic milking further synthesizes advancements in the field. Her research is pivotal for dairy farmers and agricultural engineers seeking to balance automation with pasture-based sustainability, making her a key voice in modern dairy science.

Research Focus

Key Achievements

3
H-Index
3
Papers
31
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Physical and economic comparison of pasture-based automatic and conventional milking systems
22 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: The University of Sydney, New South Wales Department of Primary Industries

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago