About

Andrew English is a leading researcher in agricultural robotics, whose work is driving the transformation of broad-acre and protected cropping systems through intelligent automation. His core research areas encompass autonomous navigation, robotic harvesting, and precision weed management. English’s major contributions include the development of Harvey, a novel robotic harvester capable of autonomously picking sweet peppers in greenhouses, and a vision-guided robot for species-specific weed destruction, addressing the critical challenge of herbicide resistance. His work on vision-based obstacle detection and navigation has been foundational for enabling small, cost-effective robots to operate safely and reliably in complex field environments. With his most cited paper on sweet pepper harvesting accumulating 259 citations, and his weed management robot paper reaching 200 citations, English’s research has had a significant impact on the field. He has also advanced low-cost localisation techniques and online learning of crop models for robust row guidance. Through seminal articles like "Farm Workers of the Future," English articulates a compelling vision for replacing large machinery with fleets of autonomous robots, making him a key figure in the push toward sustainable intensification of agriculture.

Research Focus

Key Achievements

11
H-Index
12
Papers
897
Total Citations
75
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Sweet Pepper Harvesting for Protected Cropping Systems
259 citations · 2017
📈 Most Prolific Year: 2017 (4 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Queensland University of Technology, Australian Centre for Robotic Vision, Ollscoil na Gaillimhe – University of Galway

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago