Leading in Precision Farming
At the 2025 China International Import Expo (CIIE) in Shanghai on the Chinese mainland, a cutting-edge AI-powered system is drawing crowds with its promise to elevate durian grading standards. By combining CT scans and machine learning, the technology performs non-destructive quality checks, creating a data-driven benchmark for selecting fruits with the best flesh content and taste.
How It Works
The system uses computed tomography to generate detailed 3D images of each durian's internal structure. Advanced AI algorithms then analyze tissue density, seed-to-flesh ratio and potential defects without opening the fruit. This approach preserves the fruit's integrity while delivering consistent, objective assessments.
Impact on the Industry
For farmers and distributors facing rising global demand for durians, this innovation offers clearer quality classifications and fairer pricing. By standardizing grading criteria, it can help reduce food waste and improve supply chain transparency. During a live demo with CGTN reporter Xu Yi, visitors saw the system identify prime specimens destined for export markets in Asia, North America and Europe.
What's Next
While still in early adoption, the AI-CT fusion platform signals a shift toward data-driven agriculture. As agritech startups seek scalable solutions, non-destructive testing could expand to other tropical fruits, from mangoes to jackfruits. With sustainable practices at the forefront, consumers worldwide stand to benefit from tastier, more reliable produce.
Reference(s):
Techs in CIIE: AI-Powered system grades durians with precision
cgtn.com
