Shun Tamura

Papers

Total Citations

H-Index

About

Shun Tamura is a researcher at the forefront of agricultural robotics and computer vision, with a focus on automating precision tasks in horticulture. His work centers on developing intelligent systems for 3D reconstruction and yield estimation, particularly for high-value crops like table grapes. Tamura’s major contribution lies in creating a method to reconstruct 3D grape bunch models from 2D images—a critical innovation for automating berry thinning, a labor-intensive process that directly impacts bunch compactness, form, and berry size. By enabling accurate 3D modeling from simple photographs, his research bridges the gap between visual data and actionable agricultural insights. His most-cited paper, “3D grape bunch model reconstruction from 2D images” (2023), has garnered 8 citations, reflecting its growing influence in the field. This work not only aids farmers in counting berries and assessing bunch quality but also lays the groundwork for robotic thinning systems. Tamura’s achievements highlight a commitment to solving real-world agricultural challenges through cutting-edge technology, making his research essential reading for students and researchers interested in the intersection of computer vision, robotics, and sustainable farming.