ChinaFood and restaurants2025 – ongoingCOFCO Corporation
COFCO Biotechnology AI inspection of corn quality
COFCO reported cutting corn sample inspection from 8 minutes to 1 minute
Problem
Manual inspection of corn samples took 8 minutes. Inspectors had to identify damaged and moldy kernels while assessing grain quality.
Approach
COFCO Biotechnology used AI visual analysis to identify defective kernels. Its model incorporated morphological features from 120 million corn kernels. Supporting equipment measured moisture and other grain-quality indicators alongside the visual inspection.
Results
Takeaway
The inspection workflow combined AI classification with physical measurements. The reported savings covered the integrated application.
Categories
- Size
- Large enterprise
- Industry
- Food and restaurants
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
COFCO described its subsidiary's visual inspection system for corn quality. It reported inspection time falling from 8 minutes to 1 minute and annual savings exceeding RMB 3 million.
Full details are in the original sources.
