Presentation Information
[9p-E101-6]Exploring Semiconductor Use Cases for AI-Powered Agricultural Robots
〇Noboru Noguchi1 (1.Hokkaido Univ.)
Keywords:
AI-powered agricultural robots,smart agriculture,hyperspectral imaging system
This research aims to create an innovative hyperspectral imaging system and AI-driven agricultural robot by fusing advanced semiconductor technologies with the agriculture and food sectors, thereby accelerating the realization of next-generation smart agriculture.
The 2-nm semiconductor technology enables the hyperspectral camera to achieve both high computational performance and miniaturization. By embedding AI models into the sensor system, real-time acquisition and interpretation of soil and crop information become feasible. Such AI-enabled sensing technology is expected to significantly advance the intelligence and autonomy of agricultural robots, paving the way for highly efficient and data-driven agricultural production.
The 2-nm semiconductor technology enables the hyperspectral camera to achieve both high computational performance and miniaturization. By embedding AI models into the sensor system, real-time acquisition and interpretation of soil and crop information become feasible. Such AI-enabled sensing technology is expected to significantly advance the intelligence and autonomy of agricultural robots, paving the way for highly efficient and data-driven agricultural production.