Tomoo Shigi
Papers
1
Total Citations
4
H-Index
1
About
Tomoo Shigi is a researcher whose work sits at the intersection of agricultural robotics and machine vision, with a particular focus on automating the labor-intensive process of grafting tomato seedlings. His most cited paper, "Machine Vision to Inspect Tomato Seedlings for Grafting Robot" (2014, 4 citations), addresses a critical bottleneck in Japanese horticulture: nearly 60% of tomato seedlings in Japan are grafted, yet almost all are done manually—a tedious, expensive, and labor-intensive task. Shigi’s contribution lies in developing a machine vision system capable of sorting and inspecting grafted seedlings, a key step toward a fully-automatic grafting robot. By targeting this specific agricultural challenge, his work aims to reduce reliance on manual labor and improve efficiency in seedling production. While his citation count is modest, the practical significance of his research is notable, as it directly supports the automation of a widespread but under-mechanized process in Japan’s tomato industry. Shigi’s focus on applied vision systems for agriculture highlights his commitment to solving real-world problems in food production.
Research Focus
Key Achievements
Top Papers
- 1MACHINE VISION TO INSPECT TOMATO SEEDLINGS FOR GRAFTING ROBOT4 citations · 2014