Challenge
The current purchasing process at Sydney Fish Market is a hands on affair in which traders physically inspect the produce before they decide what to buy. There is no objective benchmark for quality and subjective assessments sometimes lead to disagreements and issues around trust, while paperwork inefficiencies can delay sales.
As the Fish Market moves towards an online trading system, they need to bring transparency to the supply chain and provide traders and consumers alike with immediate, verified information about the origin and quality of produce.
Solution
The UTS Tech Lab team will design a digital fish provenance and quality tracking system, using snapper as the test species.
An app will be created to allow fishers to record catch photos stamped with the time and location. AI-based image processing and E-Nose technology will be integrated into an online platform and mobile app for use by both traders and retail customers. The technology will identify fish species, estimate size and evaluate freshness.
The project will also deliver a simplified sales process with a shorter time to market and access to catch lists and a quality assurance system.
Duration
4 years
Academic team
Associate Professor Jian Zhang
Engagement model
Joint-funded project
Funding
Sydney Fish Market
Food Agility CRC
Future applications
E-trade systems for produce markets
Area of expertise
Artificial intelligence
Data science
Robotics and automation
Industry partnerships & research projects
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