Takatsugu Kuriyama

Senshu University

Papers

1

Total Citations

9

H-Index

1

About

Dr. Takatsugu Kuriyama is a leading researcher at the intersection of computer vision and precision agriculture, with a primary focus on developing intelligent systems to address critical labor shortages and declining productivity in Japan’s agricultural sector. His most notable contribution is the creation of an automatic tomato growth analysis system that leverages YOLO transfer learning, enabling real-time, non-invasive monitoring of crop development. This work, published in 2023 and already garnering 9 citations, demonstrates his ability to translate cutting-edge AI techniques into practical solutions for smart agriculture. By automating the detection and analysis of fruit growth stages, Dr. Kuriyama’s research empowers farmers to optimize harvesting schedules, reduce manual inspection costs, and improve yield predictions. His work is particularly impactful in the context of Japan’s aging farming population and shrinking farmland, offering a scalable path toward sustainable, robot-assisted agriculture. Dr. Kuriyama continues to advance the field by integrating deep learning with agricultural robotics, positioning himself as a key innovator in the global push toward data-driven, autonomous farming systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
An Automatic Tomato Growth Analysis System Using YOLO Transfer Learning
9 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Senshu University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago