D4AgEcol will show the potentials of digitalisation as enabler for agroecological farming systems in Europe based on available knowledge and actors' and stakeholders' co-innovation capacity . Partners from seven countries across a wide spectrum of pedoclimatic zones in Europe will assemble a holistic evaluation of digital tools and technologies. This will be based on indicators for agroecology, economic considerations and investigations about perceived benefits for user and stakeholder. Drivers, barriers and risks of digital technologies for a transformation towards agroecology will be identified. The results of this analysis will feed in national and European roadmaps for agroecology, indicating the need for adjusted policies and a technology research and innovation agenda.

Unsustainable agricultural practices are major drivers affecting habitat and species diversity in agricultural landscapes of the EU. However, peatland, grassland, and species associated with agriculture are of most concern. The ongoing negative impacts of unsustainable agricultural practices emphasize the need for a fully integrated approach between the EU 2030 Biodiversity and Farm to Fork Strategies. Supporting the EC`s ambition of enhancing biodiversity of agricultural landscapes advanced systems are required to monitor biodiversity features and their changes over time and in space. Such biodiversity monitoring systems will support implementation of result-based policies in the European agricultural landscapes. The BioMonitor4CAP project will design advanced biodiversity monitoring systems mainly assessing diversity of targeted species and habitats to be tested, calibrated, and demonstrated in five European regions representing the major agro-ecological regions of the EU and one region in Peru representing one of the global biodiversity hot spots. The project will combine classical indicator systems that are part of the European monitoring framework (e.g. Farmland Bird Index) with various indicator systems mostly recently developed and applied in form of standalone systems: i) new indicator species (e.g. grasshopper), ii) genetic diversity (eDNA), iii) on-site sensors (e.g. wing beat frequency, acoustic sounds), iv) functional diversity (e.g. pollinators), and iv) various spatial measures. Supporting development and implementation of revised agricultural policies and ensuring rural development the project will involve among multiple stakeholder groups particularly farmers, conservationists, and service provides as the value and/or marketability of public and/or private goods delivered through maintained and enhanced biodiversity and related monitoring systems are hardly understood.

Smart-AKIS was submitted to the 2014 call, remaining on the reserve list (12/15). For resubmission, all items in the ESR have been carefully addressed: i) more focused approach, addressing only Smart Farming Technology for crop production and using more concrete methodologies; ii) stronger involvement of the machinery industry, with specific support from national Associations and a dedicated working group within CEMA; iii) a Data Management Plan ensuring compliance with H2020 Open Access Policy and inclusion in different thematic aggregators. The project aims at setting up a self-sustainable Thematic Network on Smart Farming Technology designed for the effective exchange between research, industry, extension and the farming community in order to disseminate direct applicable research and commercial solutions and capture grassroots level needs and innovative ideas. Smart Farming Technology (SFT) encompasses Farm Management Information Systems, Precision Agriculture and Agriculture automation and robotics. Smart AKIS will collect existing knowledge related to SFT and will produce easily accessible end-user material under the EIP-Agri common format. The project will also integrate the socio-economic aspects involved in the innovation processes and will generate interactive and innovation-based collaborations among researchers, advisors and farmers through the use of open innovation in multi-actor workshops. Knowledge flow will be facilitated through the implementation of the Smart Farming Community Platform, which will be compatible with the EIP-SP in order to ensure long term accessibility of results. Smart-AKIS will build on results from five flagship EU projects (VALERIE, SOLINSA, PRO-AKIS, FRACTALS, AGRISPIN), through the participation in the project of their core partners. The project will establish direct communication with EIP-Agri to maximize impact of project activities and stakeholder mobilization.

The current food system is unsustainable and underperforming, having high environmental and socio-economic costs, while still failing to ensure food and nutrition equity for all. Dietary shifts towards novel foods based on alternative protein sources (NFAP; proteins derived from insect, fungi, bacteria, micro and macro algae and agriculture and aquaculture by-products), provide a unique opportunity to reduce consumption of animal-based proteins potentially minimizing the impact of the Food Systems. However, knowledge regarding the environmental, economic and social impact of the widespread production, provision and consumption of NFAP is very limited and not integrated into a holistic vision of the food system able to identify trade-offs, interaction between food system actors and second and third order impacts. The goal of EPIC-SHIFT is to provide an unprecedented, independent, solid knowledge base on the sustainability (env., eco. and soc.) aspects of NFAP as options for protein diversification for human consumption. Considering that the contribution of each NFAP types to reorganize the food systems may differ, EPIC-SHIFT applies a quadruple helix innovation model in its multi-actor approach to roadmap the sustainable development of NFAP for Planetary Health Diets. Designed as a think-tank and adopting Food Systems Thinking approach, EPIC-SHIFT will provide a multidimensional impact assessment of 7 NFAP (from protein type to product level) at scale complemented with the necessary recommendations for food environments, marketing, regulatory approval, infrastructure and investment needed to support long-term market growth. EPIC-SHIFT integrated scenario analysis will further result in decision support tools that will inform policy and decision-making about the trajectories to achieve the sustainable integration of NFAP in the EU diets ensuring resource efficiency, food security and nutrition within a framework of just transition for all food system actors.

The overall objective of ATLAS is the development of an open digital service platform for agricultural applications and to build up a sustainable ecosystem for innovative data-driven agriculture using the platform. The platform will allow the flexible combination of agricultural machinery, sensor systems and data analysis tools to overcome the problem of lacking interoperability and to enable farmers to increase their productivity in a sustainable way by making use of the most advanced digital technology and data. The platform will define a service architecture providing hardware- and software-interoperability layers which enable the acquisition and sharing of data from a multitude of sensors and the analysis of this data using a multitude of dedicated analysis approaches. The benefits of data driven agriculture will be demonstrated using the ATLAS platform within a multitude of pilot studies. Around these pilot studies, so called "Innovation Hubs", a network of end-users, service providers, researchers and policy makers along the agricultural value chain, will be established to exploit the benefits of digital agriculture to a larger audience. Innovative companies will be attracted through seed funding to provide their services through the platform. With the knowledge created from these pilot studies, ATLAS will put significant effort into the definition of the next generation standards for data driven agriculture.