Tsuguo Okamoto

About

Tsuguo Okamoto is a pioneering researcher in agricultural robotics and bioproduction automation, with a career focused on integrating machine vision and robotic systems into plant cultivation. His key research areas include image analysis for autonomous agricultural vehicles and robotic tissue culture for high-value crops. Okamoto’s major contributions lie in developing computer vision algorithms for crop row detection, enabling mobile robots to navigate fields—a foundational step for precision agriculture. He also advanced the automation of orchid and sugar cane propagation, creating robotic systems for transplanting protocorms and seedlings in sterile tissue culture environments. These innovations addressed labor-intensive tasks in horticulture and bioproduction, with his most-cited works—such as the two-part “Image Analysis of Crop Row” series (1995, 8 and 5 citations)—demonstrating early impact in field robotics. His work on orchid transplanting (1993, 4 citations) and robotic seedling sorting (1998, 4 citations) remains influential in controlled-environment agriculture. Okamoto’s research bridges engineering and plant science, offering practical solutions for sustainable food and ornamental crop production.

Research Focus

Key Achievements

Top Papers

1. 1
   Image Analysis of Crop Row Used for Agricultural Mobile Robot (Part 1)

   8 citations · 1995
2. 2
   Image Analysis of Crop Row Used for Agricultural Mobile Robot (Part 2)

   5 citations · 1995
3. 3
   Robotic Transplanting of Orchid Protocorm in Mericlone Culture

   4 citations · 1993
4. 4
   Robotization of Orchid Protocorm Transplanting in Tissue Culture

   4 citations · 1996
5. 5
   Robotic system for sorting and transplanting orchid seedlings in tissue culture

   4 citations · 1998
6. 6
   Robots in bioproduction within controlled environments

   4 citations · 1998
7. 7
   Robotic Sugar Cane Seedling Propagation System in Tissue Culture

   3 citations · 1998

Key Collaborators

Contact & Links