Real-time Prediction of Food Quality with TinyML

Excess food production leads to a global environmental crisis. Unused food accounts for 8-10% of global greenhouse gas emissions, for example. Reduced food waste contributes to a reduction in global warming emissions and pollution, as well as an increase in the amount of food available to starving nations.

This situation shows that in the coming years, we will need to concentrate less on increasing food production and more on timely quality control so that fresh food can be sold and eaten. To fix the current situation, Intelligent, user-friendly solutions that enable real-time product quality monitoring are required.

In this article, we will explain an easy way to check food quality that can be implemented in an average store, and even in your own fridge.