Papers
16
Total Citations
173
H-Index
7
About
Takuya Fujinaga is a pioneering researcher in agricultural robotics, specializing in the automation of fruit harvesting and crop monitoring for smart agriculture. His work primarily focuses on developing robotic systems for tomatoes and strawberries, addressing critical labor shortages caused by aging farming populations. Fujinaga’s major contributions include creating the "Tomato Growth State Map," a multi-modal image mosaicing technique that enables robots to monitor fruit maturity and plan harvesting strategies, with his foundational papers accumulating 28 and 27 citations respectively. He also designed a novel suction-cutting device for tomato harvesting, achieving a 27-citation impact, and advanced autonomous navigation for agricultural robots in high-bed cultivation, attaining ±0.05 meter accuracy. Notably, Fujinaga organized the Tomato-Harvesting-Robot Competition, a landmark event fostering innovation in smart agriculture, and developed semantic segmentation methods for strawberry plant identification using DeepLabV3+. His work on harvestability indices provides quantitative metrics for robotic efficiency, while his modular robot design promotes scalable, practical solutions. With over 150 total citations across his top papers, Fujinaga’s research directly bridges robotics and precision agriculture, offering transformative tools for sustainable farming.
Research Focus
Key Achievements
Top Papers
- 1
- 2Tomato Growth State Map for the Automation of Monitoring and Harvesting27 citations · 2020
- 3Development and Evaluation of a Tomato Fruit Suction Cutting Device27 citations · 2021
- 4
- 5
- 6Evaluation of Tomato Fruit Harvestability for Robotic Harvesting17 citations · 2021
- 7Tomato-Harvesting-Robot Competition Towards Smart Agriculture10 citations · 2021
- 8Report on the 8th Tomato-Harvesting Competition toward Smart Agriculture5 citations · 2023
- 9
- 10System Development of Tomato Harvesting Robot Based on Modular Design5 citations · 2019