Vesa Tuomela
Papers
1
Total Citations
3
H-Index
1
About
Vesa Tuomela is a researcher at the forefront of agricultural robotics, specializing in computer vision and automation for precision harvesting. His work centers on bridging the gap between laboratory-grade sensing and real-world greenhouse applications, with a particular focus on fruit detection and localization. Tuomela’s most cited study, “Harvesting tomatoes with a Robot: an evaluation of Computer-Vision capabilities” (2023, 3 citations), provides a critical comparative analysis of two leading 3D cameras—Intel RealSense D435 and Zivid Two—for tomato detection. By integrating the YOLO object detection model, he systematically evaluated image quality and localization performance under both controlled and greenhouse conditions. This work directly addresses the practical challenges of deploying robotic harvesters, offering actionable insights into sensor selection and algorithm robustness. While still early in his career, Tuomela’s contributions are pivotal for advancing the reliability of vision-guided agricultural robots, helping to move automated harvesting from concept toward commercial viability. His research is essential reading for engineers and agronomists developing next-generation farming technologies.
Research Focus
Key Achievements
Top Papers
- 1