EUH4FRESHINDEX: ENHANCING FRESHINDEX, DIGITAL FOOD QUALITY ASSURANCE CLOUD, BY COMPLEMENTING MODULES AND USE-CASE
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The reduction of food waste is a key element within the EU Green Deal, specifically in the Farm-to-fork strategy. The EU Parliament explicitly welcomes the efforts to rework the food system regulations, and calls for a revision of the EU rules on shelf-life date marking that in the future needs to be science based to reduce food waste while keeping EU food safety levels high. The FreshIndex approach and the experiments on mold and fungi of this proposal will be the solution to match this need.
Start date: 05/01/2022
Duration in months: 9
Problem Description
The use-case concerns the development of a cloud to predict the quality and shelf life of fresh products thanks to the application of AI models capable of measuring the quality level of the product and the judgment of the subjective perception of the same.
Goals
New services
Challenges
The challenge faced by the use case is to provide a quick assessment of the remaining shelf life of fresh products, using spectroscopy as well as other available data sets.
Innovation results
The key innovation is to build AI models for time evolution of measurable quality parameters and subjective quality perception ratings caused by ripening and spoilage mechanisms in fruits and vegetables. Through the food scanners these detailed properties can be captured non-destructively with good accuracy and our first shelf-life models show good results.
Business impact
confidential