Smart Agriculture & Computer Vision
Understanding the field with computer vision and sensing
Recognition and measurement of crops and work targets, image data use, and sensing in practical environments.
Collaboration
Through our research, we work together with companies, local governments, and research organizations to help solve regional challenges.
Topics
Smart Agriculture & Computer Vision
Recognition and measurement of crops and work targets, image data use, and sensing in practical environments.
Edge AI & FPGA Systems
Edge AI, FPGA and embedded systems, acceleration, power efficiency, and practical processing architectures.
XR & Human Interface
VR/MR, input techniques, information presentation, and new ways for people to interact with computers.
Computing Education & DX
Education for understanding and using computing, low-code development, semiconductor education, and digital human-resource development.
Examples
A collaborative research project developing an image-based method for measuring hair-strand length, aiming to help systematize hairstyling techniques and processes into reproducible "recipes."
Partners: 株式会社BAS
Period: 2026-09 – 2027-03
A collaborative research project developing technology to sort out defective summer-autumn peppers, including prematurely red-colored fruit, using AI-based image recognition.
Partners: 大分県農林水産研究指導センター
Period: 2025-08 – 2028-03
A collaborative research project using image analysis of drone-captured imagery to support more efficient management of large-scale farms.
Partners: 大分県農林水産研究指導センター
Period: 2022-04 – 2025-03
A collaborative research project combining image analysis technology and a new planting method to reduce labor in Satsuma mandarin cultivation.
Partners: 大分県農林水産研究指導センター
Period: 2022-04 – 2025-03
A collaborative research project on using multicopters (drones) to assess the growth conditions of open-field vegetables including white onions through image analysis.
Partners: 大分県農林水産研究指導センター
Period: 2021-08 – 2022-03
Contact
We can first consider how the challenge connects to the lab's research themes, even before a specific collaboration format has been decided. Contact details are on the Access page.