Gianluca Capezzuto
Papers
1
Total Citations
9
H-Index
1
About
Gianluca Capezzuto is a robotics researcher whose work focuses on autonomous navigation in agricultural environments, particularly under-canopy robotics and self-supervised learning. His most notable contribution is the development of CROW (Crop Row Navigation), a self-supervised algorithm that enables compact robots to navigate beneath crop canopies without relying on GPS or pre-mapped environments. This innovation addresses a critical bottleneck in agricultural robotics—how to operate reliably in visually challenging, GPS-denied conditions where traditional navigation fails. By leveraging crop row patterns and self-supervised learning, CROW allows robots to autonomously traverse diverse crop fields for tasks like phenotyping, soil analysis, and cover cropping. The work has already garnered 9 citations since its 2025 publication, reflecting its immediate relevance to the precision agriculture community. Capezzuto’s research sits at the intersection of field robotics, computer vision, and sustainable agriculture, offering practical solutions for scaling automated crop monitoring and management. His contributions are particularly significant for advancing under-canopy operations, a domain with high potential for reducing labor costs and improving data collection in modern farming.
Research Focus
Key Achievements
Top Papers
- 1