Gianmario Mirabile
Papers
1
Total Citations
2
H-Index
1
About
Gianmario Mirabile is a researcher at the forefront of agricultural robotics and precision farming, with a specialized focus on leveraging unmanned aerial vehicles (UAVs) for plant disease detection. His most cited work, "UAV Adaptive Trajectory for Detection of Xylella Fastidiosa Disease in Olive Trees" (2022), addresses one of the most devastating threats to Mediterranean agriculture: the Xylella fastidiosa pathogen. Mirabile’s key contribution lies in developing an adaptive trajectory generation system for drones that autonomously inspect olive groves, enabling early and accurate diagnosis of this incurable disease. To validate his approach, he built a sophisticated simulation environment within the Robot Operating System (ROS) framework, integrating Gazebo, Rviz, and MoveIt platforms to model realistic flight dynamics and tree inspection scenarios. This work not only demonstrates a practical, scalable solution for precision agriculture but also bridges the gap between robotics simulation and real-world environmental monitoring. Though early in his career, Mirabile’s research has already garnered attention for its potential to reduce crop losses and pesticide use, positioning him as an emerging innovator in the intersection of robotics, AI, and sustainable agriculture.
Research Focus
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Top Papers
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