Fabrizio Mazzetto
Papers
11
Total Citations
284
H-Index
6
About
Fabrizio Mazzetto is a leading researcher in agricultural robotics and precision farming, with a focus on developing autonomous systems for challenging outdoor environments. His work centers on creating mobile robotic platforms that integrate advanced sensing technologies—such as LiDAR and optical sensors—for crop monitoring, disease detection, and plant health assessment. Mazzetto’s major contributions include the design and stability analysis of articulated and tracked robotic vehicles for side-slope operations, as demonstrated in his highly cited paper on vehicle configuration evaluation (82 citations). He also pioneered the use of LiDAR-based 3D-stereoscopic vision for crop monitoring (75 citations) and developed the ByeLab prototype (40 citations), a seminal platform for proximal sensing and precision agriculture. His research extends to early disease detection in vineyards, addressing critical threats like Flavescence dorée and Esca, and to forestry automation, including a climbing robot for spruce pruning. With over 280 total citations across his top works, Mazzetto’s innovations in mechatronics, stability modeling, and sensor integration have significantly advanced the reliability and effectiveness of agricultural robots, making him a key figure in sustainable, technology-driven farming.
Research Focus
Key Achievements
Top Papers
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- 4A tracked mobile robotic lab for monitoring the plants volume and health35 citations · 2016
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- 9A Reasoned Evolutionary Study on the Actual Design of Farm Tractors3 citations · 2021
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