Naoyuki Aikawa

Papers

Total Citations

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About

Naoyuki Aikawa is a researcher whose work bridges agricultural technology and precision engineering, with a focus on improving dairy farming through ICT-driven solutions. His primary research areas include livestock management systems, sensor-based activity monitoring for grazing cattle, and signal processing techniques for motor vibration analysis. Aikawa’s major contributions center on developing automated activity collection systems for cattle in vast grazing lands, addressing critical challenges in Japanese dairy farming such as low milk production and reproductive rates. By leveraging ICT and robotics, his systems aim to reduce the need for human intervention in breeding management, thereby enhancing productivity and profitability. His most cited work, "Study of Activity Collecting System for Grazing Cattle" (2019, 5 citations), lays the groundwork for this approach, while a 2021 follow-up (4 citations) refines the system for expansive terrains. In a notable departure, Aikawa also explores motor vibration detection using finite-order Hilbert transformers and variable FIR filters (2023, 3 citations), contributing to efficient motor design for electric vehicles and IoT devices. Though his citation counts are modest, his interdisciplinary impact—combining agritech with advanced signal processing—offers promising pathways for sustainable farming and energy-efficient engineering.