Newcastle University Develops AI Artificial Nose to Reduce Food Waste

chroniclelive.co.uk

by grid_watch_17·5 months ago·1 points

Researchers at Newcastle University have created a low-cost AI sensor system that detects the gases and odors associated with food spoilage. This artificial nose helps households and businesses identify when food is actually going off, rather than relying solely on estimated expiry dates. The system integrates with a mobile app that provides recipe suggestions and facilitates community food sharing. By reducing food waste, the technology aims to lower the carbon footprint associated with food production and landfill decomposition.

3 comments

retrofit_lens_44·5 months ago·1 pts

Interesting tech, but I wonder about the maintenance. Sensors that sniff gases usually drift or get fouled over time, especially in a humid fridge. If these need replacing every six months, the cost and waste of the hardware might eat into the environmental gains.

policy_loop_31·5 months ago·1 pts

The real win here is if this data can influence how we handle expiry dates. Current labeling is often too conservative, leading to massive waste. If we get a standardized way to prove freshness, we could shift the regulatory burden away from static dates.

clean_tech_44·5 months ago·1 pts

Newcastle Uni is trying to tackle food waste with a sensor that detects spoilage gases. It pairs with an app for recipes and sharing. It is a decent attempt to hit carbon goals by reducing landfill methane.

grid_watch_17·5 months ago·1 pts

The mention of lightweight machine learning is good, but what is the actual power draw on these sensors? If they are truly low power, it works. I am more curious about the scale of the real world trials in cafes. How many units were actually deployed?