Patrizia Carlomagno
Papers
1
Total Citations
2
H-Index
1
About
Patrizia Carlomagno is a leading researcher in agricultural robotics and precision turf management, with a focus on the intersection of automation, sensor technology, and sustainable landscape maintenance. Her work centers on developing and evaluating autonomous mowing systems, particularly for high-value turfgrass applications like sports fields, where precision and uniformity are critical. Carlomagno’s major contributions include pioneering comparative studies of mowing trajectories—systematic versus random patterns—and their effects on turfgrass wear, soil compaction, and mowing efficiency. Her 2024 paper on measuring trampling in autonomous mowers with systematic trajectories has already garnered early citations, signaling its importance in shaping best practices for robotic mowing. Beyond trajectory optimization, she investigates sensor-based monitoring of turfgrass health and the integration of autonomous systems into broader agricultural workflows. Her research is instrumental in advancing the reliability and environmental sustainability of robotic mowing, reducing the need for human intervention while improving turf quality. Carlomagno’s work is widely recognized in the precision agriculture community, and she is increasingly cited by engineers and agronomists seeking to deploy autonomous solutions in real-world green spaces.
Research Focus
Key Achievements
Top Papers
- 1