Welcome to the third edition of the DIVINE Project Newsletter!

DIVINE Pilots

The DIVINE project implements four distinct pilots across four European countries, each focused on a different type of farming enterprise. These pilots aim to demonstrate the practical application of agri-data sharing in real-world agricultural settings, validating both the technical and non-technical solutions developed within the project. By testing and optimizing these solutions in practice, their adaptation to meet the diverse needs of stakeholders is also facilitated based on continuous feedback.

Each pilot addresses unique agricultural challenges and involves a range of stakeholders, ensuring significant diversity in the data generated and analysed. This diversity enables a comprehensive validation of the DIVINE approach, providing a broad perspective on agricultural data. By breaking down data silos, we not only create efficiencies for primary stakeholders, but also uncover wider patterns, not immediately evident, that can inform policy and promote more sustainable agricultural practices.

Despite the varied focus of each pilot, they are all united by the common goal of leveraging data-driven solutions to enhance efficiency, productivity, sustainability, and decision-making in agriculture. A central theme across all pilots is also the commitment to reducing the environmental impact of food production and mitigating the effects of climate change.

These pilots are designed not only to deliver immediate results but also to establish a foundation for long-term solutions and foster cross-pilot knowledge exchange. The first round of pilots has been successfully completed, and the second round is now underway. Below, the insights gained from each pilot so far are presented.

Pilot 1: Data space for sustainable food production

Description

This pilot delivers a platform for benchmarking farming data between farmers for optimizing milk and pork production. By leveraging this platform and the benchmarked data, the project partner KGZS, acting as the Advisory Service in Slovenia will be able to support the farmers more efficiently. This will not only enhance production but also reduce the carbon footprint of farms, contributing to more sustainable agricultural practices.

DIVINE activities

The pilot concentrates on using the DIVINE data space comprised of both public and private data received from farmers and other existing data sources, as a benchmark for providing agricultural experts and farmers with an advisory tool that will support optimising farming practices, paving the way for sustainable food production and increased revenues in the food supply chain.

Field scale activities

The initial version of the benchmarking platform developed in the DIVINE project was tested with selected farmers and advisors at the beginning of 2024. As the actual benchmarking sessions with farmers take place once per year, the plan is to test the improved second version of the platform at the beginning of 2025.

Main benefits

This pilot aims to demonstrate how a data space driven pathway can transform the regional food production systems through systemic gathering, processing and interpretation of relevant data via the DIH AGRIFOOD Data Space, providing a secure, sovereign system of farming data sharing in which all participants can fully realize the value of agricultural data. The uptake and improved use of data will result in data space driven, digitally transformed farming systems characterized by much better management of the complete sector, including improved farming practices, greater transparency, sustainability, efficiency, reduced inputs, greenhouse gas (GHG) emissions, food waste and losses throughout the entire value chain.

Offerings to other pilots

This pilot provides an open-access data space platform and infrastructure, incorporating both existing and new agri-data sources, which can be shared with other DIVINE pilots.

Challenges

A major challenge faced is the lack of availability of relevant, open, easily accessible, secure, and transparent farming data. This limitation restricts the European agricultural sector from increasing its production capacity, overall performance, sustainability, and carbon-neutral farming practices across the entire value chain.

Plans for future developments

The benchmarking platform developed in the DIVINE project will be improved based on actual testing with farmers and advisors. The platform can be also further extended to other agricultural sectors apart from milk and pork production. There is already interest in expanding its use to orchard production, highlighting the platform’s potential versatility.

Pilot 2: Crop yield prediction model

Description

This pilot is looking at what critical data sources -both private and public- can be accessed and if these are combined with respect to the management of a cereal crop production strategy. It integrates these datasets into the DIVINE data space for enabling yield prediction strategies to be developed that would enhance the supply chain management strategies. These services will not only allow farmers to get better insights into the crop developments in their regions but will also allow agri-tech providers to enhance their existing advanced Decision Support Systems (DSS) with additional valuable sources of information.

Objectives and intended applications

The overall goal of the pilot is to create an easy-to-use farmer-friendly crop yield prediction tool based on real-time data inputs. This tool will act as a platform to bring together various digital agriculture solutions aiming at streamlining a farmer’s usage of digital technologies.

This will be achieved by securely collecting both public and private data and presenting this data in a user-friendly way, supporting informed decision making. This data will also be used by the platform to create decision support tools which suggest actions to be undertaken based on real-time data.

Field scale activities

As part of the DIVINE project, crops of spring barley under different establishment systems were planted at UCD Lyons Farm, Co. Kildare, Ireland in 2023 and 2024. In Year 1, the crop husbandry decisions for these crops were recorded, in addition to the motive behind the choices made and the information used to reach these decisions. Digital data was collected using in-situ sensors (e.g. on-site weather station, soil moisture and temperature probes), handheld equipment (e.g. SPAD meter to read chlorophyll content, leaf area index), and from the tractor GPS and data management system (e.g. field operations and input tracking). This data and records were used in the conceptualisation and realisation of the pilot’s goals. In Year 2, data was collected once again, and decisions were made with prototypes of the proposed solutions.

Key stakeholders and beneficiaries

This pilot aims to provide beneficial resources to cereal crop growers, agronomists, and farm advisors in Ireland and across Europe. Farmers, agronomists, and farming organisations have provided feedback to DIVINE regarding their requirements and desires for this project. Validation will also be carried out with stakeholders to ensure that these needs are met.

Offerings to other pilots

The pilot is working closely with the three other DIVINE pilots across the EU to ensure cross-pilot interoperability and shared benefits, including shared infrastructure and existing and new agri-data sources.

Challenges

In general, arable farmers have embraced new digital technologies as they have become available and provide useful benefits to their enterprise. However, the current level of technology in crop production provides some system lock-in effects due to:

• A lack of cooperation and integration between digital agriculture systems and tools to allow for informed decision-making and decision support tools. There is no API available to securely share and collate historical and real-time data from two or more applications/software.
• Manual entry being required on many platforms for agricultural data, creating an inefficient process that farmers are not willing to commit to. This leads to a lack of timely relevant data being utilised in current digital data solutions leading to a loss of any benefit gained from these platforms.
• A lack of easy-to-use protocols to guide farmers through the growing of a crop with decision support systems.
• No accurate farmer-available yield prediction tools on a field-scale.

Plans for future developments

After gathering data and beginning to create solutions over the past two years, Year 3 of this project will see the finalisation of the proposed solutions and subsequent validation. The final version of the technical solutions will be deployed. They will be demonstrated and validated through the selection of farmers, allowing for optimisation of the platform.

In addition to that, dissemination and communication activities related to the pilot will be continued throughout the final year to ensure stakeholder awareness and interest in the project.

Pilot 3: Smart farming in the service of the new CAP monitoring

Description

This pilot explores mechanisms for farm-level data collection, aggregation and sharing, which pave the way for the integration of digital agricultural solutions as ground truth data sources to support monitoring of the new Common Agricultural Policy (CAP) implementation. In this context, performance indicators associated with the use of pesticides, fertilizers, and irrigation water along with harvested yields are considered at (a) farm/parcel level or (b) regional level.

Objectives and intended applications

The pilot's goal is to provide farmers and advisors with real-time updates on agro-environmental conditions via an interactive dashboard. Through this interactive dashboard, farmers can also track their farming practices in a digital farm calendar, which organizes data in a user-friendly way with time-based aggregations. The dashboard supports decision-making by combining relevant information, such as data from the IoT sensors related to irrigation (e.g. soil moisture, precipitation, previous applied irrigations), on dedicated pages. In the case of farm advisors, advanced access rights are given to manage data and provide advice based on regional aggregates. This allows farmers to compare their practices with regional averages, encouraging data sharing and collaboration. The solution also ensures that sensitive information remains protected while facilitating optimized decision-making. Finally, the shared data can offer valuable insights for monitoring policies implementation at the farm level.

Field scale activities

With reference to both pilot sites, which are located around Kavala (olives) and Larisa (grapes) regions in Greece, digital recording of applied farming practices has taken place, considering the use of pesticides, fertilizers and irrigation water, as well as parameters including phenological stage. The data-driven decision support system has enabled the provision of farming advice to farmers.

Key milestones and beneficiaries

In Pilot 3, an integrated data-driven Smart Farming (SF) solution was successfully deployed, establishing collaboration channels with farmers for conducting requirements analysis related to data sharing. Various data sources were engaged, including around 60 digital farm calendars and six IoT agrometeorological stations monitoring atmospheric, soil, and plant conditions. The functionalities of the SF solution were extended to incorporate data-sharing approaches, which are now accessible through a user-friendly dashboard, enhancing ease of use and data transparency for farmers, agronomists, and agricultural advisors.

Offerings to other pilots

Pilot 3 can provide datasets based on data collected by deployed stations, as well as performance indicators at a regional level. Technical support and guidance are provided for the translation of pilot data into Agricultural Information Model (AIM) specifications, to ensure semantic data interoperability across the pilots. Data-sharing needs have also been analysed and classification for intra-pilot, inter-pilot and cross-pilot data-sharing has been established in close collaboration with the three other DIVINE pilots.

Challenges

Farm Management Information Systems (FMIS) experience vendor lock-in, where proprietary data models frequently lead to non-interoperable solutions. To resolve this, addressing semantic interoperability is crucial by specifying standardized information concepts and ontologies for effective modelling. Additionally, many farmers are hesitant to grant access to their datasets, so identifying appropriate incentives and rewards is key to ensuring the secure and trustworthy collection and sharing of farm-level data. In view of this, farmers participating in Pilot 3 have been familiar with the web dashboard, where they can have an overview of the parcels that are managing, having the ability to get real-time updates on the agro-environmental conditions and be notified of important events. Finally, the quality of data collection can be compromised by manually recorded farm calendar entries, which may contain both intentional and unintentional errors. To overcome this challenge, farmers can record the practices they apply and the observations they make in a digital farm calendar. The digital farm calendar renders in a user-friendly way the various recordings along with various aggregations for specific time periods. The dashboard offers dedicated pages aiming to assist decision support on the various farming practices.

Plans for future developments

To ensure the success of the second pilot round, adaptability will be maintained to accommodate evolving data sources across all pilots, while cross-pilot interoperability checks will be established to enhance system compatibility. The Pilot 3 activities will be closely monitored with a strong focus on generating tangible outcomes for supporting impact assessment and ensuring pilot effectiveness.

Pilot 4: Potential effects of agricultural data sharing on traditional olive and almond plantations

Description

This use case aims to provide farmers with accurate and timely information to improve their farm management practices and prove the effectiveness and efficiency of the application of data sharing mechanisms from multiple sources.

DIVINE activities

In order to achieve an Artificial Intelligence (AI)-based tree-level normalized difference vegetation index (NDVI) estimation, several AI-based models have been analysed and developed. In addition, an interactive dashboard has been developed to make accessible the generated model to non-programming end-users.

Field scale activities

• Several AI models and strategies have been combined to obtain tree-level NDVI estimations. On the one hand, public data are usually available through Sentinel-2 satellite imagery. Due to the low-resolution quality of these products, a Super Resolution Deep Learning model has been trained using diverse datasets for both global and local geographic adaptations. On the other hand, due to the unavailability of optical products during cloudy periods, a diffusion model has been trained to estimate NDVI values based on Synthetic Aperture Radar (SAR) Sentinel-1 inputs, as presented at the recent IGARSS conference. Additionally, to extract NDVI estimations associated with individual trees, an open-source trained segmentation model has been adapted and integrated into the pipeline.
• Furthermore, there are several applications trained for the pilot using the dataset obtained on the farm sensors measurements that calculated the following
  • Autocorrelation for Radiation
  • Autocorrelation for Precipitation
  • Temperature trend analysis
  • Humidity trend analysis
  • Radiation trend analysis
  • Precipitation trend analysis
• Also, on the set of applications there will be a new set of tools delivered in the following weeks:
  • Prediction of Evapotranspiration using Multiple Linear Regression via the use of less sensors' measurements data and not the whole time-series
  • Prediction of flowering of almond trees via the use of satellite images and calculation of Vegetation Indices
  • Causality analysis

Benefits for key stakeholders

In order to make the generated technology accessible to users with no programming skills and stakeholders such as farmers and agricultural professionals, a Solara-based interactive interface has been designed and is accessible as a web service.

Offerings to other pilots

The datasets used to train the AI models in Pilot 4, the developed architectures, and the interface can be shared and adapted for use by other pilots.

Challenges

The main challenges encountered during the development of this pilot include:

• A limited level of technological knowledge among farmers, leading to difficulties in adopting new digital tools and practices. This results in a lack of data-driven decision-making and a limited capacity to increase production and optimize farming practices for sustainability.
• The lack of accurate yield prediction tools and farm management software restricts farmers from accessing the full benefits of digital farming practices. This results in inefficient resource allocation and suboptimal crop yields, leading to a reduction in profitability and competitiveness in the market.
• Furthermore, the limited data-sharing capabilities and lack of interoperability between digital farming systems hinder the development and implementation of innovative solutions for agriculture. This results in a lack of scalability and adaptability of digital farming practices, leading to a reduction in the potential benefits for farmers and the sector as a whole.
• One of the main challenges encountered in this pilot has been the estimation of NDVI at tree level. Public satellite imagery, like Sentinel-2, provides multispectral images with a resolution of 10 meters. However, this resolution is not sufficient for certain applications, such as precision agriculture. In this case, it is not enough to obtain an NDVI value per tree. Some satellites do provide high-resolution (HR) imagery, but those images tend to be expensive. Consequently, AI models have been used to enhance the resolution of Sentinel-2 images, remove clouds, and generate NDVI values at a per-tree level.
• Moreover, several problems were encountered during the process. On one hand, to train the super-resolution (SR) model, a dataset was created using public high-resolution (HR) images. The process of downloading, processing, and obtaining overlapping Sentinel-2 images was difficult and time-consuming due to large file sizes, misaligned geolocation, and unprocessed HR images. On the other hand, to remove clouds, a specific dataset for the region of interest (ROI) had to be created. Lastly, to generate a tree mask for the ROI, high-resolution images for that area were required, and an open-source trained segmentation model was used to segment the imagery, filtering the segments by size.

Despite the challenges encountered during the process of developing AI-based tools, a decision support system incorporating deep learning and pre-existing models was created. This system utilizes NDVI data to combine the benefits of various AI models, enhancing the resolution and accuracy of the analysis.

Plans for future developments

The current development status of the aforementioned technology is at Technology Readiness Level (TRL) 5, meaning that the generated prototype has been validated locally by accessing various data services such as the Diezma local weather station located in Granada, as well as public remote sensing data from Sentinel-1 and Sentinel-2 satellites. Future actions include improving the existing models to enhance their precision for different global and local geographic applications. Additionally, to consider commercial use of this technology, the interface and related architecture will need to be adapted to AWS-based external services.

Recent news and events

Successful completion of the first DIVINE project review

We are pleased to announce the successful completion of the first review of the Horizon Europe DIVINE project in June 2024. This important milestone offered an opportunity to present an in-depth overview of the project’s vision, key milestones, and achievements during the first period of the project. Each work package and task was thoroughly reviewed, with a focus on the objectives achieved, ongoing activities, and plans for the second and final period of the project.

We extend our sincere gratitude to our project officer, Lara Congiu, and reviewers, Mario Béjar Fuentes and Tatiana Boussange, for their insightful feedback and constructive recommendations. Their input will guide us as we refine our services and solutions in the months ahead, ensuring the DIVINE Project continues to deliver impactful outcomes.

Scientific publications

SDS Conference 2024

We are proud to share that our partner, Delia Milazzo from Engineering Ingegneria Informatica SpA, delivered an insightful presentation titled "Addressing Agricultural Data Management Challenges with the Enhanced TRUE Connector" at the Data Science and Dataspaces: Challenges, Results, and Next Steps session of the Statistics and Data Science (SDS) Conference 2024. This event, organized by the Università degli Studi di Palermo, took place on April 11^th and 12^th, 2024.

The presentation focused on key interoperability challenges tackled within the DIVINE project's Agricultural Data Space Ecosystem. Congratulations to the contributing authors—Sergio Comella, Delia Milazzo, Mattia Giuseppe Marzano, Giulia Antonucci, Susanna Bonura, and Angelo Marguglio—for their excellent work. Read the full article in the conference proceedings here.

IEEE COINS 2024

The DIVINE project took centre stage at the IEEE International Conference on Omni-layer Intelligent Systems 2024 (IEEE COINS 2024), held from July 29^th to 31^st in London, UK. Our project coordinator, Prof. Ioanna Roussaki, chaired the Smart Agriculture session, which showcased innovative proposals in agriculture, livestock farming, aquaculture, and forestry—leveraging cutting-edge IoT technologies.

We are proud to announce that the paper "Smart Farming Data and IoT in Support of Agricultural Policy Monitoring", co-authored by Institute of Communication and Computer Systems (ICCS) and NEUROPUBLIC (DOI), earned the prestigious 3rd Best Paper Award. This recognition highlights the impactful research and solutions that DIVINE is contributing to the smart agriculture field.

Additionally, the paper "Open-source Tools and Supports to Advance Data Interoperability in the Agriculture Domain”, co-authored by South East Technological University and University College Dublin (DOI), was also presented, reinforcing DIVINE’s commitment to advancing data interoperability in agriculture.

Finally, the paper “Deep Learning Models to Estimate High Resolution NDVI for Multiple Augmentation Factors”, authored by Vicomtech (DOI), was also presented in the conference, shedding light on aspects targeted by the Spanish pilot.

World Farmers’ Organisation Annual Meeting 2024

The DIVINE project, in collaboration with TRUSTyFOOD and the World Farmers' Organisation (WFO), co-hosted the session “Innovation and Digitalization in Agriculture” at the WFO 2024 Annual Meeting, held from June 17^th to 20^th, 2024, at the headquarters of the Food and Agriculture Organisation (FAO) of the United Nations  in Rome. This engaging session explored the challenges and opportunities presented by the digital transition in agriculture.

Our project coordinator, Assoc. Prof. Ioanna Roussaki of the National Technical University of Athens, delivered a presentation titled “Exploiting Agricultural Data Sharing for the Benefit of Farmers”. She highlighted the DIVINE project’s work in developing an Agricultural Data Space Ecosystem, which integrates common agri-data spaces to help farmers harness valuable data, access new markets, and boost profitability.

Marianna Faraldi, Project Coordinator of TRUSTyFOOD from Tecnoalimenti S.C.p.A., followed with a talk on “Barriers and Drivers to Blockchain Technology Application in Agriculture”. She provided valuable insights into how blockchain can improve traceability, transparency, and accountability in food supply chains.

The session also featured inspiring perspectives from young farmers. Katariina Latva, Chair of the Finnish Young Farmers Select Committee and WFO Gymnasium Alumna, presented “From Field to Fork – Through Data and Traceability”, while Mark Kiprono Kemei, WFO Gymnasium Alumnus from Kenya National Farmers' Federation (KENAFF) discussed “Transforming Agriculture with Information Technology: KENAFF’s Digital Initiatives”.

The session was expertly moderated by Delia Milazzo from Engineering Ingegneria Informatica SpA, with a warm welcome from WFO Secretary General Andrea Porro. The lively Q&A session reflected the global enthusiasm for advancing digital transformation in agriculture. We extend our gratitude to all the participants for contributing to this dynamic and insightful discussion. Together, we continue to innovate and shape the future of agriculture!

IDSA’s exclusive event on Data Space Protocol Standardisation

On September 9^th, 2024, the International Data Spaces Association (IDSA) hosted a pivotal event in Brussels titled “Next-Level Data Spaces: Making the Data Space Protocol an International Standard”. This gathering brought together key stakeholders to discuss the future of data spaces and data sharing.

The DIVINE Project, which focuses on advancing data sovereignty and interoperability in the agricultural sector, was actively involved in the event. Marios Paraskevopoulos from ICCS-NTUA represented DIVINE during the “Data Space Protocol in the Wild” session. His presentation highlighted the project’s objectives, technical challenges, and its outcomes, emphasizing how the Data Space Protocol is integrated into the DIVINE Agricultural Data Space Ecosystem to ensure secure and interoperable data sharing. He also discussed DIVINE’s role in providing critical feedback from its real-world pilots to help refine the protocol.

The session was initiated by Anil Turkmayali, who introduced the Data Space Protocol and facilitated discussions on its standardization, as well as the forthcoming EU Data Governance Act, which will be implemented next year. The event saw productive exchanges between participants from technology, policy, and business sectors.

If you want to learn more, you can view all the presentations here and read the IDSA’s statement paper on Data Space Protocol standardization here.

62nd International Fair of Agriculture and Food (AGRA 2024)

Our Slovenian partners, ITC - Innovation Technology Cluster (DIH Agrifood) and Kmetijsko gozdarska zbornica Slovenije (KGZS - Zavod Murska Sobota), made a strong impact at the 62^nd International Fair of Agriculture and Food (AGRA 2024) held from August 24^th to 29^th in Gornja Radgona, Slovenia. With over 1,700 exhibitors from 35 countries and more than 100,000 visitors, AGRA 2024 was Slovenia’s largest and most influential agricultural fair.

During the event, our partners showcased key achievements of the DIVINE Project, particularly focusing on how digital innovation and the DIVINE Agricultural Data Space Ecosystem are being applied to optimize milk production. Visitors had the chance to see the livestock benchmarking app in action, demonstrating how data sharing and digital tools can empower farmers and advisors to improve operations using data-driven insights. The response was overwhelmingly positive, and we are excited about the growing interest in our approach to digital transformation in agriculture.

Other activities of the Slovenian pilot

This year, KGZS - Zavod Murska Sobota held a series of study groups for dairy farmers across four locations in Slovenia: Šoštanj, Slovenj Gradec, Celje, and Murska Sobota. A total of 33 farmers participated, gaining valuable insights into optimizing their farm operations through improved data management.

During the workshops, farmers worked with experts to input accounting and technology data into specialized programs. Damjan Jerič, a specialist in agrarian economics, and Karmen Jerič, a cattle breeding specialist, guided the farmers in analysing their data to identify both challenges and opportunities for improvement.

Thanks to the Horizon Europe DIVINE Project, these study groups also benefited from the introduction of a new, enhanced program developed by KGZS in collaboration with ITC - Innovation Technology Cluster (DIH AGRIFOOD). This program, currently being tested in the workshops, enables better data entry and analysis, helping farmers compare their results, identify economic drivers, and take action to improve performance. This initiative is part of DIVINE’s broader goal to enhance data-driven decision-making in agriculture, empowering farmers to boost profitability and efficiency.

DIH AGRIFOOD, in collaboration with KGZS - Zavod Murska Sobota and European Digital Innovation Hub (EDIH) DIGI-SI, successfully organized an insightful event on May 31^st, 2024, at the Pomurje Chamber of Commerce titled: “Demystification of Large Databases and Data Spaces in Agri-Food”.

This event brought together agricultural advisors, farmers, and researchers to explore the growing importance of data spaces in the agri-food sector.

Key speakers, including Damjan Jerič, Daniel Copot, Tomaz Bokan, Miran Bunderla, and Lara Resman, emphasized the need for collaboration in developing agri-food data spaces. Central discussions focused on the digitalization of agriculture—a cornerstone of both the new Common Agricultural Policy and the European Green Deal.

The event also highlighted the Horizon Europe DIVINE Project’s pivotal role in advancing the digital transformation of agriculture. Through DIVINE, we are driving forward data-sharing innovations that will empower farmers and agri-food stakeholders to embrace technology and improve sustainability.

Webinars

Revolutionising Agriculture with HPC and AI: Real World Applications

On September 24^th, 2024, the DIVINE Project was featured at the "Revolutionising Agriculture with HPC and AI: Real-World Applications" webinar, hosted by EuroCC SLING, the Slovenian Competence Center for High-Performance Computing (HPC). The event brought together experts to explore how cutting-edge technologies are transforming agriculture.

Tomaz Bokan from ITC - Innovation Technology Cluster delivered an engaging presentation titled “Exploring Cutting-Edge AI Tools Revolutionising the Agri-Food Sector through Innovative EU Projects”. He highlighted how AI-driven technologies and data space innovations within DIVINE and other Horizon Europe projects are advancing precision farming, food processing, and supply chain optimization—boosting efficiency and sustainability.

A key highlight was the progress of the DIVINE pilot in Slovenia’s Pomurje region and the livestock benchmarking platform, which supports:

• Optimizing milk production and pork advisory services
• Monitoring the carbon footprint on farms

The webinar attracted a diverse audience of businesses, engineers, researchers, and farmers, all eager to embrace the transformative potential of HPC and AI in agriculture, sparking vibrant discussions and fostering new collaborations.

Learn more about the webinar here.

Understanding Digital Sovereignty and Organisational Autonomy

On September 19^th, 2024, the International Data Spaces Association (IDSA), supported by several Horizon Europe projects, including the DIVINE Project, hosted an insightful webinar exploring Digital Sovereignty and Organizational Autonomy. Led by Mark Svancarek, the session provided an in-depth look at the evolving concept of digital sovereignty, especially in the context of cloud services and distributed platforms.

The discussion focused on the newly published ISO/IEC DTS 10866 document, a significant development that offers a framework for understanding and navigating the complexities of digital sovereignty and organizational autonomy.

This webinar was highly relevant to decision-makers, IT professionals, and policy advocates, focusing on how data spaces, including those developed within the DIVINE Project, can support digital autonomy—a vital component of modern digital strategies.

The DIVINE Project remains committed to advancing data sovereignty and interoperability in the agricultural sector, aligning closely with the webinar’s themes.

If you want to gain more insights into data sovereignty and organisational autonomy, you can watch the entire tech talk on the IDSA’s YouTube channel here.

Publication in Irish Farmers Journal

DIVINE was recently highlighted in the Irish Farmers Journal by Conor Kehoe, a tillage reporter and PhD student at UCD. In greater detail, he discussed the research conducted within the Irish pilot of DIVINE regarding decision support in crop production, emphasizing the project’s goal to streamline agri-data collection and sharing. He explained how DIVINE enhances interactions between digital tools and develops new ones that empower farmers to make data-driven decisions. Conor Kehoe also spotlighted the development of a digital model blueprint to aid decision-making in cereal crop production, as part of the second DIVINE pilot. To gain more insights, read the full article here.

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