Daniel Armstrong

Papers

1

Total Citations

22

H-Index

1

About

Daniel Armstrong is a leading researcher in pasture-based dairy systems, with a particular focus on the adoption and optimization of automatic milking systems (AMS). His work bridges the critical gap between technological innovation and on-farm economic viability, addressing why AMS adoption has lagged in grazing environments despite its potential to boost productivity. His most cited study, "Physical and economic comparison of pasture-based automatic and conventional milking systems" (2020, 22 citations), provides a rigorous comparative analysis that quantifies the trade-offs between labor efficiency, capital investment, and milk yield in pasture settings. This foundational work has informed both farmer decision-making and industry policy, making Armstrong a key voice in sustainable dairy intensification. Beyond this flagship paper, his research portfolio explores the interplay of automation, animal behavior, and farm profitability, earning him recognition as a practical innovator in precision livestock farming. For students and researchers, Armstrong’s work exemplifies how applied agricultural science can directly shape the future of food production.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
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: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago