Tokyo University of Technology and NARO Sign Joint Research Agreement
Tokyo University of Technology and the National Agriculture and Food Research Organization (NARO) have launched a joint research project to develop and implement technology in the livestock industry. By integrating the university's engineering technology and supercomputer 'Seiran' with NARO's livestock expertise and testing fields, they aim to develop an integrated grazing management system that saves labor and reduces wildlife damage, targeting practical implementation by fiscal year 2030.
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- 📰 Published: June 9, 2026 at 23:00
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Tokyo University of Technology (President: Yutaka Kagawa) and the National Agriculture and Food Research Organization (NARO, President: Kazuhiro Chiba) have signed a joint research agreement to advance technology development and social implementation in the livestock sector.
This research project aims to develop an integrated grazing management system that saves labor and reduces wildlife damage by combining the university's engineering expertise—including robotics, sensing, AI, and digital twin technology—along with its large-scale data analysis and simulation infrastructure powered by the 'Seiran' supercomputer, with NARO's extensive knowledge in livestock and its field testing environments. At Tokyo University of Technology, the research will be led by the 'Advanced Smart Agriculture Research Center,' involving faculty from multiple disciplines.
Japan's livestock industry faces challenges such as rising production costs and a shortage of successors, with grazing, in particular, requiring reduced work burdens and improved efficiency. This research will focus on developing robot and drone-based grazing management support, behavior control technologies to suppress damage from deer, and AI-enabled livestock and environmental monitoring. The massive data collected will be analyzed using the 'Seiran' supercomputer to construct optimal grazing management models, leading to an integrated system.
The project will conduct demonstrations at NARO's grazing test sites, aiming to establish a system ready for practical operation by the end of fiscal year 2030. Through this initiative, both organizations will contribute to improving the productivity of the livestock industry and building a sustainable production system.
This research project aims to develop an integrated grazing management system that saves labor and reduces wildlife damage by combining the university's engineering expertise—including robotics, sensing, AI, and digital twin technology—along with its large-scale data analysis and simulation infrastructure powered by the 'Seiran' supercomputer, with NARO's extensive knowledge in livestock and its field testing environments. At Tokyo University of Technology, the research will be led by the 'Advanced Smart Agriculture Research Center,' involving faculty from multiple disciplines.
Japan's livestock industry faces challenges such as rising production costs and a shortage of successors, with grazing, in particular, requiring reduced work burdens and improved efficiency. This research will focus on developing robot and drone-based grazing management support, behavior control technologies to suppress damage from deer, and AI-enabled livestock and environmental monitoring. The massive data collected will be analyzed using the 'Seiran' supercomputer to construct optimal grazing management models, leading to an integrated system.
The project will conduct demonstrations at NARO's grazing test sites, aiming to establish a system ready for practical operation by the end of fiscal year 2030. Through this initiative, both organizations will contribute to improving the productivity of the livestock industry and building a sustainable production system.
FAQ
What is the purpose of the joint research between Tokyo University of Science and NARO?
The purpose is to develop and implement technology in the livestock sector, particularly to reduce labor in grazing management and mitigate wildlife damage by deer.
What technologies are being utilized?
Robotics, sensing, AI, and digital twin technologies, along with large-scale data analysis and simulation platforms using Tokyo University of Science's supercomputer 'Seiran'.
Where will the demonstration experiments take place?
The experiments are planned to be conducted at NARO's grazing test sites.
When is the operational system expected to be established?
The goal is to establish an operational system by fiscal year 2030.
What is Tokyo University of Science's 'Seiran'?
It is the largest and fastest supercomputer at a private university in Japan, composed of the latest NVIDIA GPUs.