Michele Bartolomei
Papers
1
Total Citations
2
H-Index
1
About
Michele Bartolomei is a researcher focused on precision agriculture and agricultural robotics, with a particular emphasis on developing affordable, real-time sensing solutions for variable rate application (VRA) in spraying tasks. His key research areas include canopy property estimation, computer vision for agricultural automation, and lightweight sensor systems for field deployment. Bartolomei’s major contribution lies in proposing an on-line, low-cost method for canopy porosity estimation that enables precision spraying nozzles to adapt in real-time based on estimated values, thereby improving input efficiency and reducing environmental impact. His work on a lightweight and affordable canopy porosity estimation system (2023, 2 citations) demonstrates a practical, accessible approach to bringing VRA technology to broader agricultural contexts. While still early in his career, Bartolomei’s research addresses a critical gap between expensive, high-end precision agriculture tools and the need for scalable, cost-effective solutions. His focus on real-time, on-the-go sensing positions him as an emerging contributor to the growing field of smart farming, where his innovations could help democratize precision spraying for smaller-scale operations.
Research Focus
Key Achievements
Top Papers
- 1