Matteo Gatti
Papers
10
Total Citations
144
H-Index
6
About
Matteo Gatti is a leading researcher at the intersection of precision viticulture and agricultural robotics. His work centers on automating one of the most labor-intensive tasks in vineyard management: winter pruning. By combining computer vision, deep learning, and robotic manipulation, Gatti has pioneered methods for pruning region detection, plant organ segmentation, and pruning point generation from 3D point clouds. His 2016 paper on the physiological bases of mechanical winter pruning remains a foundational reference with 64 citations. More recently, he has advanced on-the-go ripeness estimation using hyperspectral imaging, enabling optimal harvest timing. Gatti’s contributions extend to whole-body control of non-holonomic mobile manipulators for unstructured vineyard environments, and he has addressed the critical challenge of visual domain shifts in agricultural perception through surgical fine-tuning techniques. His work on the VINEPICs dataset provides a valuable resource for the research community. With a growing portfolio of high-impact publications, Gatti is shaping the future of sustainable, automated viticulture by translating robotic innovation into practical, field-ready solutions.
Research Focus
Key Achievements
Top Papers
- 1Mechanical winter pruning of grapevine: Physiological bases and applications64 citations · 2016
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- 10VINEyard Piacenza Image Collections - VINEPICs2 citations · 2023