Lisa Caturegli

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About

Lisa Caturegli is a leading researcher in precision turfgrass management, specializing in the integration of robotic mowing technologies for sustainable landscape maintenance. Her work focuses on optimizing autonomous mower performance, comparing random versus systematic trajectory patterns, and assessing cutting quality on both cool-season and warm-season turfgrass species. Caturegli's major contributions include developing custom-built software to evaluate robotic mower cutting performance, providing quantitative metrics that replace subjective assessments. Her 2019 study on cutting performance assessment (18 citations) laid foundational methods for data-driven mower evaluation. Subsequent research demonstrated that systematic trajectories can improve mowing uniformity in tall fescue maintained at 90 mm cutting height (16 citations), while her 2023 work on warm-season turfgrass (12 citations) established trampling thresholds for battery-powered autonomous mowers. These studies have practical implications for reducing labor costs and environmental impact in commercial and residential lawn care. Caturegli's research bridges agricultural engineering and horticulture, offering evidence-based guidelines for adopting robotic mowers in diverse turf management scenarios—a rapidly growing field as automation transforms landscape maintenance.