FATIMA addresses effective and efficient monitoring and management of agricultural resources to achieve optimum crop yield and quality in a sustainable environment. It covers both ends of the scale relevant for food production, viz., precision farming and the perspective of a sustainable agriculture in the context of integrated agri-environment management. It aims at developing innovative and new farm capacities that help the intensive farm sector optimize their external input (nutrients, water) management and use, with the vision of bridging sustainable crop production with fair economic competitiveness. Our comprehensive strategy covers five interconnected levels: a modular technology package (based on the integration of Earth observation and wireless sensor networks into a webGIS), a field work package (exploring options of improving soil and input management), a toolset for multi-actor participatory processes, an integrated multi-scale economic analysis framework, and an umbrella policy analysis set based on indicator-, accounting- and footprint approach. FATIMA addresses and works with user communities (farmers, managers, decision makers in the farm and agribusiness sector) at scales ranging from farm, over irrigation scheme or aquifer, to river-basins. It will provide them with maps of fertilizer and water requirements (to feed into precision farming machinery), crop water consumption and a range of further products for sustainable cropping management supported with innovative water-energy footprint frameworks. All information will be integrated in leading-edge participatory spatial online decision-support systems. The innovative FATIMA service concept considers the economic, environmental, technical, social, and political dimensions in an integrated way. FATIMA will be implemented and demonstrated in 8 pilot areas representative of key European intensive crop production systems in Spain, Italy, Greece, Netherlands, Czech Republic, Austria, France, Turkey.

Natural/Small Water Retention Measures (NSWRMs) can help mitigate the conflicts between agricultural water uses (e.g. plant production, animals) and other human and environmental demands for water, including drinking water or maintaining environmental flow. This is crucial, since these conflicts will be probably exacerbated by an increasing number of extreme events such as droughts and heavy rainfall. A more careful management of head watersheds will significantly contribute to a more resilient agriculture and society. Moreover, NSWRMs are contributing simultaneously to the achievement of different Sustainable Development Goals and environmental targets formulated in several water- and agriculture-related European Union policies. Despite a comprehensive set of techniques available to increase water retention on both catchment and farm levels, knowledge is still lacking on the effectiveness of different scale- and region-specific measures across various soil-climatic regions and agricultural systems, especially under changing climate conditions. OPTAIN aims to (i) identify efficient techniques for the retention and reuse of water and nutrients in small agricultural catchments across Continental, Pannonian and Boreal biogeographical regions of Europe, taking into account potential synergies with existing drainage-irrigation systems, and - in close cooperation with local actors - (ii) select NSWRMs at farm and catchment level and optimize their spatial allocation and combination, based on environmental and economic sustainability indicators. By building on existing knowledge and addressing these objectives, OPTAIN will improve the Technological Readiness Level of NSWRMs for the benefit of both humans and ecosystems. All gained knowledge will be translated into a learning environment allowing analysis of trade-offs and synergies between multiple values/goals in the management and design of NSWRMs.

STARGATEs contribution beyond state-of-the-art in applied climatic data solutions is the implementation of analytics models to support local and regional policy formulation and implementation related to mitigation on microclimate changes. Currently, policy making organizations predominantly utilize own data, typically limited to their own jurisdiction/administrative area. However, once the policy development process expands the evidence base and data sources beyond the traditional approach, there is need for global data. The addition of national, European and even global reference data sets for comparative analysis — including meteorological, climatic analysis, satellite data sources to improve decision making processes. The studies at landscape scale are required to understand leading ecological processes. The focus will be on Climate Smart Agriculture (CSA) and will extensively study the benefits of applying agri-environment-climate technical solutions to achieve sustainable agricultural development at landscape level. It means to support farm management modernization and at the same time get to know the underlying ecological factors that shape the farming landscape. STARGATE will leverage access to this data and also STARGATE climatic platform including developed models platforms to foster easy and affordable adoption by policy making bodies. The simples approach to decision support in policy development is effective visualization of data. Good visualization supports the policy developers’ in modelling sustainable policies and decisions. Unlike algorithmic simulation and modelling, visualization leaves the actual decision and assessment to a human user and thus provides an extra quality assurance before actual policy decisions are made. STARGATE provides innovative components for visualization of big data with a particular emphasis on geospatial visualization and advanced, dynamic charting.