Sponsored by:
農研機構
スマート農業実証プロジェクト「高品質シャインマスカット生産のための匠の技の「見える化」技術の開発・実証」（2020–2021年度）
生物系特定産業技術研究支援センター
戦略的スマート農業技術等の開発・改良「AI駆動型栽培体系:人間とロボットの協働によるシャインマスカット栽培の高効率・高品質化」（2022–2024年度）
This project aims to reduce the burden of inflorescence trimming by supporting farmers with an AI-assisted smart glass system. Inflorescence trimming is a time-sensitive task that traditionally requires experience and skill to achieve optimal grape quality. With this system, farmers no longer need prior expertise to perform accurate trimming.
The AI system automatically estimates the length of the grape inflorescence using computer vision and displays trimming guidance directly on the smart glass. Visual cues indicate the appropriate trimming position, allowing farmers to cut the flower cluster at the correct location with confidence. By providing real-time, AI-driven instructions, the system ensures consistent trimming quality while reducing labor intensity and training requirements, making it especially suitable for new and young farmers. This system enables inexperienced farmers to perform the task correctly and helps them develop professional skills over time.
Publications
- S. Fujisawa, M.F. B. Kamarudzaman, P. Buayai, K. Makino, H. Nishizaki, and X. Mao. “Image-Based Measurement of Grape Inflorescence Length for Automatic Inflorescence Trimming.” 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Metrology for Agriculture and Forestry (MetroAgriFor), 2023 IEEE International Workshop on, 2023, pp. 289-294, doi: https://doi.org/10.1109/MetroAgriFor58484.2023.10424126.
- P. Buayai, K. Yok-In, D. Inoue, C. S. Leow, H. Nishizaki, K. Makino, and X. Mao. 2021. “End-to-End Inflorescence Measurement for Supporting Table Grape Trimming with Augmented Reality.” In International Conference on Cyberworlds (CW), IEEE, pp. 101-108, doi: https://doi.org/10.1109/CW52790.2021.00022.
Patent
房作り案件
特許第7049636号（特願2021-203363）、2021年12月15日出願、【発明の名称】情報処理装置、システム、プログラム、及び情報処理方法、茅 暁陽、 ブアヤイ プラウィット、横澤 浩樹、根本 陽平