top of page

FOODITY project

MI4SAFER FOOD

Fresh Vegetables

The FOODITY project launched the first of its two open calls in September 2023 and closed in November 2023. The FOODITY project selected six innovative data-driven projects that develop solutions contributing to more sustainable food systems while boosting citizen data sovereignty. Starting in January 2024, the six projects will receive up to €187,500 to develop their project activities. 
One of the selected projects is “MI4SaferFOOD - Multispectral imaging application for food safety and quality evaluation.”

CONTEXT

Over the past few decades, consumer expectations regarding food quality and freshness have risen steadily. To achieve quality levels that are acceptable to typical buyers, fresh fruits and vegetables sold at supermarkets and other commercial outlets must go through stringent sorting procedures. The quality assessments of fruits and vegetables use colour and other visible characteristics to determine factors such as ripeness, uniformity of shape and size, and absence of defects on skin and flesh. Other assessments look at texture-related features such as firmness, toughness and tenderness. Quality assessments help to decide the appropriate kind of processing and application for each fruit or vegetable, such as peeling, slicing, canning, syrup preparation or raw fruit consumption. 
As the demand for food items in both domestic and export markets has grown, automation in the assessment of food quality must go through a process and become a key requirement to help food producers achieve high and consistent quality during both short and long consumption periods; reduce costs; and achieve higher overall supply chain efficiencies, to gain the trust of the consumers.

Salad with ingredients

IMPACT

Healthy life

The MI4SaferFood project, focusing on food multispectral image recognition, aims to test the feasibility and effectiveness of using MSI technology to identify and classify different types of vegetables and fruits in Greece. Considering the value of MSI, the project will enable the verification of  the hygiene and quality of food products, and estimation of nutritional values and dietary intake of fruits and vegetables, such as calories, carbohydrates, fats, proteins, vitamins, minerals. 
Furthermore, the solution will enable consumers to access reliable and transparent information about the origin, freshness, and nutritional value of the fruits and vegetables they buy. A consumer can use the developed mobile application to take photos of fruits and vegetables and instantly monitor their freshness and quality, which will be rated on a 5-star scale. This will help consumers make informed choices and trust the quality of the food they consume.

OBJECTIVES

The main objective of the MI4SaferFood project is the application of MSI, a non-destructive technique that can be used to evaluate the quality and safety of the selected fruits and vegetables. This technique captures images using multiple spectral bands, such as visible, near-infrared, and shortwave infrared, and uses the spectral information to distinguish the characteristics and composition of the objects in the images. MSI combines the advantages of spectroscopy and imaging to provide spatial and spectral information about the food product.
Other specific objectives include:
●    Identifying the spectral ranges and pics of different food products.
●    Developing image processing algorithms for detecting defects or contaminants.
●    Establishing a database of spectral signatures for different food products.
●    Building a set of recommendations and awareness on how to nudge customers “for safer food safety on-demand”
●    Ensuring the awareness of data sovereignty of citizen data during the pilot activities.

QR.png
Fruits
bottom of page