MEMS-based photonics system is a simple portable low-cost spectrometer operating at Vis-NIR integrated into mobile applications, offering a user-friendly and efficient way to assess soil and food quality.
This tool comprises three essential components. A mobile application to capture spectral signatures of food or soil, automatically transmitting data to a harmonization platform while ensuring security and data integrity. Second, food and soil spectral libraries, which contain various reference spectral signatures and measurements, enable the calibration and validation of AI models for signatures interpretation. Lastly, AI tools transform these spectral signatures into meaningful indicators for soil and food assessment.
Three main services are then provided: (i) Product Purity Index that estimates product purity by analysing possible adulteration of food products. (ii) Organic Food Labelling Detection that develops deep learning classifiers to differentiate between organic and non-organic products, and (iii) Soil Quality Assessment service that provides quantified information on soil properties such as organic carbon, clay content, acidity/alkalinity, calcium carbonates, and salinity.
The tool is suited for the use of farmers, due to its ease of use, featuring “point-and-shoot” method. Moreover, the mobile application can function offline by capturing and storing data for later transmission when connectivity is available, enabling its use also in remote or internet-limited locations.
The digital marketplace is a platform bringing together regional producers, enabling the promotion of their organic food and products and making it easier for interested parties to purchase goods. The platform will allow customers to purchase organic food from the involved producers or small retailers. New services will be implemented in the system to verify the marked products and to monitor the conditions affecting the quality of the transported goods.
This marketplace includes essential functions like authorisation, authentication, and administrative tools, and integrates with external platforms like the Atlas Regional Attractions promotional website to promote organic products. Additionally, it features a transport-condition verification component that monitors the conditions of goods during transit, ensuring quality from producer to customer.
The Digital Marketplace provides a fully managed PrestaShop platform customized for sellers, offering a comprehensive suite of features designed to support all aspects of running a successful online business. Sellers have access to user-friendly tools for efficiently listing and managing products. They can also maintain a customer database, manage orders, and create promotional pricing. Additionally, the automated order fulfilment system simplifies the management of orders, shipping processes, and auto-email notifications, thereby streamlining operations and improving overall efficiency.
Earth Observation-based ecosystem services is a tool developed to distinguish between organic and conventional farming practices. It leverages satellite imagery and derived markers to monitor organic farming compliance and assess general parcel conditions, monitoring and verification of maintenance of ecological focus areas and, of multiannual crop rotation plans, including intra-field analysis. The tool integrates with cloud-based data repositories and services, and uses novel machine learning and data fusion techniques, towards large-scale monitoring and verification of organic farming practices.
The following markers are currently computed and made available: The Homogeneity Marker identifies fields growing multiple crops when only one should be present, aiding in verifying compliance with organic certifications. The Greening and Harvest Marker tracks the lifecycle phases of crops, useful for monitoring practices and crop rotation schedules. The Bare Soil Marker detects exposed soil, helping verify the timing of agricultural activities. The Similarity and Euclidian Distance marker belong to the group of crop classification markers, and they determine the crop growing on a FOI by comparing the FOI to its neighbourhood. The Crop Marker assesses the consistency of declared crops with actual vegetation, while the Organic/Non-Organic Marker determines if the growth patterns of a parcel align with organic farming practices.
This tool’s capability to retrieve and process satellite imagery on the cloud, coupled with advanced data fusion and analytics, empowers control bodies with precise, real-time data to certify organic farms more effectively. In this way, they can require accurate and up-to-date information over large areas quickly and efficiently, which helps with flagging suspicious activity and allows targeted spot visits to the parcels identified as suspicious. Advanced machine learning techniques are also employed to tackle the complexities associated with studying carbon footprints, sequestration, and their impacts. These techniques include transfer learning, multi-scale learning, and integration with physical process models (e.g., EPIC) to support the regional-scale mapping of relevant parameters.
The IoT Sensor Network enables real-time and offline monitoring of temperature and humidity during the transport of perishable goods, with a focus on supporting control and certification bodies. Sensors placed inside packaging or containers track environmental conditions critical for maintaining organic product integrity and certification compliance. Data is collected and processed via the SensLog platform, offering analytics, threshold alerts, and visualisation tools tailored for verification tasks.
Battery-powered sensors log data every 5–15 minutes and transmit it via cellular networks or store it for later retrieval. The SensLog platform integrates this data using REST APIs, storing it with time and location metadata. It performs statistical analysis, detects threshold violations or sustained deviations, and generates automatic alerts. The system provides a web-based interface for visualising spatial-temporal trends and generating transport condition certificates post-delivery.
This tool is ideal for control and certification bodies that require reliable, transparent, and up-to-date information to ensure compliance in the transport of organic or perishable products, enabling more targeted inspections and efficient certification workflows.
The DNA-Based Authenticity Kit empowers farmers/ producers to verify the species origin of their products, ensuring transparency, traceability, and compliance from the first stage of production. It enables rapid, on-site DNA testing to detect mislabelling, substitution, or adulteration, supporting the integrity of certified and high-value food products like mussels.
The portable kit includes tools for DNA extraction, PCR amplification, and melt curve analysis, all operable in field or facility settings. After a simple sampling and preparation process, results are generated and provided in CSV/PDF format through user-friendly software. The Verification Engine automatically validates the results, offering reliable documentation for traceability, reporting, and certification.
Farmers / producers can use this tool at multiple points in the supply chain—from harvesting and processing to packaging and shipment—to demonstrate product authenticity. By integrating this testing early in the value chain, producers improve their ability to meet regulatory requirements, maintain market trust, and protect their brand from fraud or contamination issues.
The blockchain-based traceability system offers retailers and wholesalers a secure, transparent way to track product origin, handling, and quality across the supply chain. Using blockchain’s inherent immutability, this tool ensures that data—from harvest to delivery—is tamper-proof, auditable, and accessible to verified stakeholders.
The system supports the standardized GS1 data model and critical tracking events (CTEs), allowing each supply chain actor to upload, view, and share traceability data. Retailers can access this information through a user-friendly web interface or API, enabling seamless integration with existing ERP systems. Data can include production dates, certifications, transport information, and transformation processes.
A built-in Verification Engine validates data integrity and allows certification bodies to check if quality standards and documentation are met. Retailers and wholesalers benefit from improved supply chain visibility, easier compliance checks, and stronger customer trust through proof-backed claims on product origin and authenticity.
By participating in this system, retailers gain real-time access to verified traceability records, helping them reduce fraud risk, manage recalls efficiently, and offer high-quality, certified products with confidence.
The Dynamic Digital Product Passport (dDPP) is a tool designed to enhance transparency, traceability, and trust across the food supply chain. By scanning or entering a product’s identification number, users instantly access verified information on product origin, certification, environmental impact, and movement across the supply chain stages.
Accessible through a user-friendly mobile app, the dDPP integrates real-time data from blockchain, sensor networks, EO data and MEMS systems via a harmonized backend infrastructure. It supports role-specific user interfaces—enabling producers, wholesalers, retailers, and certification bodies to view verification status and logistics data directly from their interface.
The dDPP helps verify product authenticity, supports fraud detection, and enhances consumer confidence by enabling transparent product histories. Certification bodies can rely on time-stamped, location-tagged data to confirm compliance, while retailers gain a powerful tool for offering verified organic and GI products to customers.
By delivering reliable, dynamic product data at the point of sale or inspection, the dDPP improves supply chain coordination and strengthens accountability from farm to fork. Ultimately, the dDPP fosters greater consumer trust by providing transparent, verifiable product information that empowers informed purchasing decisions and reinforces confidence in product quality and certification.
The Green Accountability Tool (GAT) is a digital platform designed to support certification bodies, policymakers, and food supply chain actors in tracking, verifying, and improving organic and GI-certified food systems. Through intuitive dashboards and visualisation tools, GAT offers real-time insights into compliance, traceability, environmental monitoring, and supply chain operations.
GAT enables users to track certification status via a traffic light system, monitor environmental data from Earth Observation and MEMS photonic systems, and view complete product histories, including transformation and transport. It also provides tailored sustainability recommendations for farmers based on soil and environmental metrics.
Integrated with the THEROS Verification Engine and Data Management Harmonisation and Interoperability Tool, GAT facilitates decision-making, reporting, and transparency across stakeholders. Certification bodies gain immediate access to up-to-date compliance information, while policymakers benefit from actionable insights to guide sustainable food policy.
The Data Management Harmonisation and Interoperability Tool is the backbone of the THEROS ecosystem, enabling integration of heterogeneous data from Earth Observation, IoT sensors, MEMS photonics, and DNA kits into a unified, standardised digital format. It ensures interoperability across tools and traceability services by applying custom data translators and centralising access through a cloud-based API (THEROS Toolbox).
Using the OGC-compliant SensorThings API, the platform supports seamless data exchange between components such as the Verification Engine, blockchain ledger, dDPP, Digital Marketplace and Green Accountability Tool. Role-based access is securely managed through the integrated Keycloak identity provider.
Ideal for IT integrators, platform developers, and digital service providers, this tool simplifies the integration and consumption of diverse datasets, enhancing reliability, scalability, and compliance across the food supply chain. It enables smart services to access harmonised data for verification, certification, analytics, and real-time monitoring—building a fully interoperable traceability system.
