Daisuke Yasutake

Kyushu University

Papers

2

Total Citations

4

H-Index

2

About

Daisuke Yasutake is a rising figure in agricultural technology and plant phenotyping, where his work bridges robotics, computer vision, and high-throughput biology. His research centers on developing automated systems to quantitatively analyze plant growth, addressing the critical bottleneck of labor-intensive manual measurements in modern agriculture and plant science. Yasutake’s major contributions include pioneering high-throughput 3D reconstruction methods for plants, as demonstrated in his 2025 study, which employs a robotic system to capture detailed datasets of cucumber plants for automated feature segmentation and trait extraction. Complementing this, his 2024 work introduces a novel plant phenotyping system using a Pan Tilt Zoom (PTZ) camera, designed to be accessible and valid for non-specialists—a key step toward democratizing advanced phenotyping tools. Though early in his career, with his most-cited papers each garnering 2 citations, Yasutake’s work is foundational, laying the groundwork for scalable, precise, and user-friendly phenotyping platforms. His achievements highlight a commitment to solving real-world agricultural challenges through interdisciplinary innovation, making him a researcher to watch in the field of precision agriculture and plant science.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
High-throughput 3D reconstruction of plants and its application to plant feature segmentation
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Kyushu University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago