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  • DIGIFRESH: Digital monitoring of fruits and vegetables freshness

DIGIFRESH: Digital monitoring of fruits and vegetables freshness


  • Determinating the shelf life of fresh fruit and vegetables
  • Monitoring the conditions of fresh fruit and vegetables
  • Translatation storage conditions in the supply chain into remaining shelf life

It is not easy to determine for how long fresh fruit and vegetables can be stored on shelves in shops or at home, as differences in storage conditions along the supply chain can affect quality and shelf life. Therefore, the shelf life and freshness of fresh fruit and vegetables is not currently commercially specified. The difference in storage conditions, and unspecified shelf life means that fresh fruit and vegetables entering the supply chain risk losing quality before they are sold or consumed, resulting in financial losses and increased food waste.

The DigiFresh project will help us to determine the shelf life of fresh fruit and vegetables, at each stage in the supply chain.

As part of the DigiFresh project, we will monitor the conditions which can affect quality of fresh fruit and vegetables such as temperature, relative humidity and carbon dioxide, in order to develop digital twins that are able to predict freshness and/or remaining shelf life. Retailers will be able to use these models to keep fruit and vegetables fresher for longer, reduce financial and food losses, and increase customer satisfaction.

This project will involve integrating existing commercial sensor technology and real time monitoring with smart digital twins, to translate storage conditions in the supply chain into remaining shelf life.


  • To monitor quality detrimental parameters such as temperature (T), relative humidity (RH) and carbon dioxide (CO2) to develop digital twins to predict the freshness or residual shelf life of F&V.

  • To optimize the management of the fresh produce supply (sale period and price) aiming to reduce financial and food losses in the retail and increase customer satisfaction.

  • To translate storage conditions in the supply chain into residual shelf life at every step.


DigiFresh provides an automatic prediction of freshness/residual shelf life of F&V in the supply chain based on T, RH and CO2, together with affordable wireless hardware and user friendly ICT infrastructure. This adds intelligence to data interpretation for the actors in the supply chain allowing for beer product management. With first applications in the economically very relevant markets of berries and leafy greens, we foresee the solution will lead to increased efficiency of the handling of F&V in the supply chain, reduced food losses along the supply chain with cost reductions and additional revenues expected for actors in the supply chain.

The F&V market is characterized by fluctuating demands and prices, and proper operational management based on data intelligence will offer competitive advantages (supply the right quality at the right me). Highly perishable F&V are largely affected by variations in cold chain conditions through the respiratory activity and loss of moisture due to evaporation. Incorporating respiration and evaporation knowledge proves essential to render a reliable solution that is currently not offered on the market.

The societal outcome is that more reliable quality and shelf life of F&V can be guaranteed leading to increased consumer trust in fresh food. The environmentally friendly solution can create an even more positive image of fresh F&V that will help in campaigns to increase consumption, particularly for vulnerable groups such as children.


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Initial sheet:

Status: Active

Financing Program: EIT RIS innovation program

Duration: January 1, 2021 – December 31, 2021 (12 months)

Budget: 556,204.00 €