Cheryl McCarthy

University of Southern Queensland

Papers

8

Total Citations

297

H-Index

7

About

Cheryl McCarthy is a leading researcher in agricultural robotics and autonomous systems, with her work spanning mobile robot navigation, sensor fusion, and precision agriculture technologies. Based at the intersection of engineering and agricultural science, McCarthy has made substantial contributions to how robots perceive and navigate complex outdoor environments, particularly orchards and farming landscapes. Her most influential work — a two-part study on orchard mapping and robot localisation using fused camera and laser scanner data (2015) — has attracted a combined 186 citations, establishing her as a key figure in agricultural robot perception. By demonstrating how sensor fusion enables reliable tree detection and environment mapping, these papers provided a practical framework for deploying autonomous robots in semi-structured agricultural settings. McCarthy has also shaped the broader field through comprehensive review articles, including an early survey of autonomous navigation systems in agricultural environments (2013, 46 citations) and a state-of-the-art review of agricultural automation technologies (2019). Her more recent research extends into disease detection, exploring near-infrared spectroscopy for identifying crown rot in wheat — pointing toward a future of robotic crop health monitoring. Collectively, her work addresses critical challenges in feeding a growing world through smarter, more autonomous farming systems.

Research Focus

Key Achievements

7
H-Index
8
Papers
297
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Orchard mapping and mobile robot localisation using on-board camera and laser scanner data fusion – Part A: Tree detection
104 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Southern Queensland

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago