Daniil Utkin
Papers
1
Total Citations
77
H-Index
1
About
Daniil Utkin is a researcher at the forefront of applied computer vision and precision agriculture, with a particular focus on integrating deep learning with spatial sensing technologies. His most cited work, "Intelligent System for Estimation of the Spatial Position of Apples Based on YOLOv3 and Real Sense Depth Camera D415" (2022, 77 citations), addresses a critical gap in modern object detection: while neural networks excel at identifying objects in pixel coordinates, they often fail to provide real-world spatial positioning. Utkin’s contribution bridges this divide by combining YOLOv3 with depth-sensing hardware, enabling accurate 3D localization of apples for automated harvesting systems. This work exemplifies his broader research into intelligent systems for agriculture, where he develops practical solutions that translate AI outputs into actionable spatial data. By tackling the challenge of moving from 2D detection to 3D estimation, Utkin has advanced the feasibility of robotic fruit picking and precision farming. His research demonstrates a keen ability to solve real-world engineering problems, making him a notable figure in the intersection of deep learning, robotics, and agricultural technology.
Research Focus
Key Achievements
Top Papers
- 1