Mika-Petri Laakkonen
Papers
1
Total Citations
3
H-Index
1
About
Mika-Petri Laakkonen is a robotics researcher specializing in agricultural automation and computer vision, with a focus on precision harvesting systems. His work bridges the gap between advanced sensor technologies and practical farming applications, particularly in greenhouse environments. In his most-cited study, "Harvesting tomatoes with a Robot: an evaluation of Computer-Vision capabilities" (2023), Laakkonen conducted a rigorous comparison of two 3D cameras—Intel RealSense D435 and Zivid Two—for tomato detection and localization. By integrating these sensors with the YOLO object detection model, he evaluated image quality and performance under both laboratory and real-world greenhouse conditions, providing critical insights for robotic harvesting. This work addresses key challenges in agricultural robotics, such as variable lighting and occlusions, and has garnered 3 citations as a foundational reference in the field. Laakkonen’s contributions advance the development of cost-effective, reliable vision systems for autonomous crop harvesting, supporting the broader goal of sustainable, labor-efficient agriculture. His research is particularly valuable for students and engineers exploring sensor selection and computer vision in agri-robotics.
Research Focus
Key Achievements
Top Papers
- 1