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IoA-8Lab

University of Yamanashi AI Venture

Turning Field Knowledge into AI-Powered Capability

We solve operational problems in agriculture, manufacturing, and infrastructure with research-backed AI.

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14 Journal Papers
17 Conference Papers
7 Japanese Patents

Our Domains

Solving real operational problems across industries

Agriculture
Thinning robots, grading stations, harvest timing, AR support systems — centered on grape cultivation and expanding to multiple crops.
  • Grape thinning robots
  • Grape grading
  • Harvest timing
  • AR farming support
  • Konjac size estimation
Manufacturing
Predictive maintenance, defect inspection, production line anomaly detection, digital twins — enabling AI-powered manufacturing.
  • Predictive maintenance
  • Vision-based defect inspection
  • Production line anomaly detection
  • Digital twins
  • Automatic meter reading
Infrastructure & Services
AR remote assistance, knowledge capture, field monitoring — driving digital transformation of field operations.
  • AR remote assistance
  • Knowledge capture
  • Field-to-cloud monitoring
  • Semi-automatic annotation

Proven Outcomes

Case studies backed by peer-reviewed publications

Agriculture
2023
Grape Berry Thinning AR System
Computers and Electronics in Agriculture

Challenge

Grape berry thinning relies on skilled farmers' experience and intuition, making it difficult for newcomers and unskilled workers to learn.

Solution

Developed a system combining deep learning berry detection with AR glasses to display real-time thinning guidance.

Impact

Unskilled farmers achieved 8.18% higher quality scores than skilled farmers when using the system.

+8.18% quality
Agriculture
2025
Onion Anomaly Detection System
Smart Agricultural Technology

Challenge

Onion sorting relies on manual labor, with anomalies affecting quality and yield. Conventional image recognition lacked accuracy in real-world conditions.

Solution

Developed a feature-adaptive anomaly detection method, validated in both lab and real-world operational environments.

Impact

Achieved 97% accuracy in lab and 86% in real-world operation.

97% lab / 86% field
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