Francesco Pelusi
Papers
1
Total Citations
9
H-Index
1
About
Francesco Pelusi is a researcher at the forefront of agricultural robotics and precision viticulture, with a primary focus on automating the complex task of grapevine winter pruning. His work masterfully bridges computer vision and 3D sensing to address one of the most labor-intensive challenges in modern agriculture. Pelusi’s major contribution lies in developing a novel pipeline that integrates 2D semantic segmentation with 3D point cloud data to generate precise, autonomous pruning points. This approach, detailed in his highly cited 2025 paper (9 citations), directly tackles the critical shortage of skilled labor in viticulture by enabling robots to make intelligent, variety-specific cuts that optimize grape yield and quality. By combining deep learning for image analysis with spatial reasoning from LiDAR or stereo cameras, Pelusi’s system reduces the need for extensive human training while improving pruning consistency. His work is not only technically innovative but also practically impactful, offering a scalable solution to a $20 billion global industry. Pelusi’s research represents a significant step toward fully autonomous vineyard management, promising to transform traditional farming practices through intelligent, data-driven mechanization.
Research Focus
Key Achievements
Top Papers
- 1