Papers
3
Total Citations
7
H-Index
2
About
Seiya Moro is a precision agriculture engineer whose work focuses on the automation of paddy field weeding robots, addressing the critical need for sustainable, non-chemical weed control in rice cultivation. His research centers on developing autonomous navigation and operation systems that enable these robots to track target paths and maintain optimal speeds, effectively replacing manual labor in flooded fields. Moro’s major contributions include the construction of mathematical models for boat-type weeding robots equipped with trailing chains, allowing for simulation-based validation of control algorithms before field deployment. Notably, his 2023 study on automatic operation control systems demonstrates a complete framework for path tracking and speed regulation, while his 2022 work employs a disturbance observer to evaluate work performance under real-world conditions. Though his citation counts (2–3 per paper) reflect a nascent stage of dissemination, his integrated approach—combining modeling, simulation, and disturbance rejection—positions him as an emerging innovator in agricultural robotics. Moro’s work is particularly relevant for researchers exploring low-cost, autonomous solutions for small-scale rice farming, where precision and reliability are paramount.
Research Focus
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