Kristijan Radočaj
Papers
1
Total Citations
54
H-Index
1
About
Kristijan Radočaj is a researcher whose work lies at the intersection of computer vision, robotics, and agricultural automation. His primary focus is on developing intelligent systems for fruit recognition and harvesting, leveraging depth-sensing technologies to bridge the gap between raw sensor data and practical robotic manipulation. His most cited work, "A nearest neighbor approach for fruit recognition in RGB-D images based on detection of convex surfaces" (2018, 54 citations), introduces a novel, computationally efficient method that uses convex surface detection to identify fruit in cluttered, natural environments. This contribution is significant because it moves beyond traditional color-based segmentation, which is often unreliable under varying lighting, toward a geometry-driven approach that is more robust for real-world agricultural robotics. By demonstrating how nearest neighbor classification can be applied to depth data, Radočaj has provided a foundational technique that informs subsequent work in automated harvesting, precision agriculture, and field robotics. His research directly addresses the challenge of enabling robots to perceive and interact with unstructured, biological objects—a critical step toward sustainable, labor-efficient farming.
Research Focus
Key Achievements
Top Papers
- 1