Irene Mazzilli
Papers
1
Total Citations
2
H-Index
1
About
Dr. Irene Mazzilli is a leading researcher in precision agriculture and autonomous aerial robotics, with a primary focus on developing intelligent drone systems for plant disease detection. Her most cited work, "UAV Adaptive Trajectory for Detection of Xylella Fastidiosa Disease in Olive Trees" (2022), addresses the critical challenge of monitoring devastating crop pathogens. In this study, Dr. Mazzilli pioneered an adaptive trajectory generation algorithm for unmanned aerial vehicles (UAVs) that enables autonomous inspection of olive trees for Xylella fastidiosa—a bacterium responsible for widespread agricultural losses. Her innovative approach integrates simulation environments within the Robot Operating System (ROS) framework, utilizing Gazebo, Rviz, and MoveIt platforms to create realistic testing conditions before field deployment. This work represents a significant advancement in automated disease surveillance, reducing the need for manual scouting and enabling rapid, large-scale monitoring. With 2 citations to date, her research is gaining traction among agricultural engineers and robotics specialists. Dr. Mazzilli's contributions are particularly notable for bridging the gap between theoretical robotics and practical agricultural applications, offering scalable solutions for early disease detection that can help protect vital food crops and support sustainable farming practices.
Research Focus
Key Achievements
Top Papers
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