The Agricultural University of Athens is the third oldest university in Greece. Since 1920, it has been making valuable contributions to Greek agricultural and economic development, by conducting basic and applied research in the agricultural science.The University is situated at the neighborhood of Votanikos, on a 25-hectare green campus that straddles both sides of the historic Iera Odos , close to the Acropolis, at the heart of the ancient Olive Grove. Its sixteen buildings comprise: auditoriums, 41 fully equipped laboratories, a modern library, computer rooms, extensive agricultural facilities , museums, student center, indoor gym, and sports fields. Wikipedia.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: EE-08-2016 | Award Amount: 1.50M | Year: 2016
Consumers do not minimize the total costs of their energy-consuming investments due to a range of market and non-market based failures. This is known as the Energy Efficiency Gap. To reduce the gap and provide customers with energy consumption information, the EU has mandated that electrical appliances, cars and buildings carry information to indicate their energy consumption. There is a large knowledge gap in terms of understanding which factors are salient in consumers decisions, the relative importance of these factors and how these factors change by consumer group and product type. The key idea behind CONSEED is to understand how consumers make decisions which involve an energy component, and to make (energy) operating costs more salient to consumers at the point of purchase to increase efficient behaviour. CONSEED will involve four key steps. 1) Develop a theoretical framework to base our work on the best available knowledge in the field and 2) Collect empirical data on consumer behaviour through a range of different methods. Our project will involve 27 focus groups, eleven large consumer surveys, three field experiments, and three discrete choice experiments, with tailored treatments to generate a novel database consisting of empirical evidence on the salient factors impacting on the consumer decision making process. Step 3) will validate the theoretical models using our empirical data. Step 4) will deliver evidence-based research on consumer decisions involving an energy component that will enable better, more efficient and effective energy policy. Many of the challenges relating to energy efficiency policy derive from the large number of factors which potentially play a role in influencing ultimate consumer decisions. CONSEED research will directly investigate the relative importance of these factors and isolate the aspects which are likely to provide the greatest impact in terms of future energy efficiency policy.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: SFS-18-2015 | Award Amount: 4.96M | Year: 2016
SALSA will assess the role of small farms and small food businesses in delivering a sustainable and secure supply of affordable, nutritious and culturally adequate food. SALSA will identify the mechanisms which, at different scales, can strengthen the role of small farms in food systems and thereby support sustainable food and nutrition security (FNS). By considering a gradient of 30 reference regions in Europe and in Africa, we will obtain a differentiated understanding of the role of small farms and small food businesses in very differently structured food systems and situations. SALSA will elaborate and implement a transdisciplinary, multi-scale approach that builds on and connects relevant theoretical and analytical frameworks within a food systems approach, and that uses qualitative, consultative and quantitative methods. We will also test a new combination of data-based methods and tools (including satellite technologies) for rigorously assessing in quantitative terms the interrelationships between small farms, other small food businesses and FNS, paying particular attention to limiting and enabling factors. SALSA will use participatory methods, at regional level, and establish a more global Community of Practice and multi-stakeholder learning platform, based on FAOs TECA online communication and learning platform. The SALSA consortium, and the joint learning and close cooperation, have both been designed with the EU - Africa dialogue in mind. Responding to the call we will unravel the complex interrelationships between small farms, small food businesses and FNS, and unfold the role played by small farms in (a) the balance between the different dimensions of sustainability, (b) maintaining more diverse production systems, (c) supporting the urban/rural balance in terms of labour and (d) in facilitating territorial development in countries facing a strong rural population growth.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: EO-1-2015 | Award Amount: 2.14M | Year: 2016
The overall objective of APOLLO is to develop a commercial platform that will provide a suite of farm management advisory services specifically designed to address the needs of small farmers. APOLLO will use state-of-the-art methodologies for the calculation of agricultural parameters based on EO data, taking advantage of the improved spatial and temporal coverage of the new Sentinels. APOLLO will produce data on agricultural parameters through available EO, meteorological, and auxiliary data. Especially for the calculation of soil moisture, SAR images will be used for the first time with Sentinel-1, making it possible to obtain maps with a spatial and temporal resolution not achievable before. Based on the agricultural parameters calculated, a suite of farm management services (tillage scheduling, irrigation scheduling, crop growth monitoring, and crop yield estimation) will be developed, and will be delivered through a web and mobile interface. The service requirements will be elaborated in close collaboration with end users. APOLLO services will be cost-effective and affordable, thanks to access to free and open Copernicus data, an automated processing chain for the delivery of agricultural variables, independence from the need for ground-based sensors, and the pioneering use of Sentinel-1 data for estimating soil moisture information. The APOLLO platform and business case will be validated through pilot testing in Spain, Greece, and Serbia, with the participation of small farmers, agricultural consultants, farmers associations, and SMEs providing farm management services. A business strategy for the take-up of APOLLO will be developed, assessing the operational sustainability of the platform based on market revenues. According to the preliminary business plan developed, APOLLO has the potential for a Return On Investment (ROI) of 18% - 51% in 3 years (for the low and high uptake scenario, respectively).
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-39-2015 | Award Amount: 3.17M | Year: 2016
Malaria is a life-threatening disease causing more than 500,000 deaths every year in sub-Saharan Africa. Prevention of the disease is best achieved by vector control which relies on the use of insecticides. Monitoring mosquito vector populations is an integral component of control programmes and a prerequisite for effective interventions. Several individual methods are used for this task, However, there are obstacles to their uptake, as well as challenges in organizing, interpreting and communicating vector control data. We will develop a fully integrated and automated multiplex vector-diagnostic platform (LabDisk) for monitoring the species ID, the infection status of mosquitoes and the insecticide resistance profile of malaria vector populations. The system will provide sample-to-answer determinations, and it will perform genotyping at substantially lower cost, compared to the assays that are currently used in Africa. The LabDisk will be interfaced with a Disease Data Management System (DDMS), custom made data management software which will collect data from routine entomological monitoring activities, store, and make available stratified information based on user queries in a standardized way. The GAME, a modern ICT platform that employs interactive ways of communicating guidelines and exemplifying good practices of successful use of interventions in the health sector will be also employed, to teach operational end users the use of data to make informed decisions. The integrated system (LabDisk, DDMS & Game) will be implemented in four sub-Saharan African countries, highly representative of malaria settings and vector control problems, to support informed decision-making about vector control and disease management. It will cover the urgent needs of an existing market and will provide solution to end users, to address a most important societal challenge in Africa, the control of malaria. The system has a vast expansion potential in other applications.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: IoT-01-2016 | Award Amount: 34.71M | Year: 2017
The IoF2020 project is dedicated to accelerate adoption of IoT for securing sufficient, safe and healthy food and to strengthen competitiveness of farming and food chains in Europe. It will consolidate Europes leading position in the global IoT industry by fostering a symbiotic ecosystem of farmers, food industry, technology providers and research institutes. The IoF2020 consortium of 73 partners, led by Wageningen UR and other core partners of previous key projects such as FIWARE and IoT-A, will leverage the ecosystem and architecture that was established in those projects. The heart of the project is formed by 19 use cases grouped in 5 trials with end users from the Arable, Dairy, Fruits, Vegetables and Meat verticals and IoT integrators that will demonstrate the business case of innovative IoT solutions for a large number of application areas. A lean multi-actor approach focusing on user acceptability, stakeholder engagement and sustainable business models will boost technology and market readiness levels and bring end user adoption to the next stage. This development will be enhanced by an open IoT architecture and infrastructure of reusable components based on existing standards and a security and privacy framework. Anticipating vast technological developments and emerging challenges for farming and food, the 4-year project stays agile through dynamic budgeting and adaptive decision-making by an implementation board of representatives from key user organizations. A 6 M mid-term open call will allow for testing intermediate results and extending the project with technical solutions and test sites. A coherent dissemination strategy for use case products and project learnings supported by leading user organizations will ensure a high market visibility and an increased learning curve. Thus IoF2020 will pave the way for data-driven farming, autonomous operations, virtual food chains and personalized nutrition for European citizens.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-24-2016 | Award Amount: 1.25M | Year: 2017
GATES will develop a serious game-based training platform, in order to train professionals across the agricultural value chain on the use of Smart Farming Technologies (SFT), thus allowing deploying its full economic and environmental potential in European agriculture. The positive impact on the adoption of Smart Farming Technologies (SFT) in crop farming has been well established for the last 10 years. In fact, many SFT are available at present time, but farmers find it difficult to grasp which are the technologies that can be used and furthermore, which are the productivity and environmental benefits brought by their adoption. Likewise, SFT companies face barriers in the commercialization of their equipment due to the lack of knowledge and training of the farmer community. GATES provides the farmer community, agronomical students, extension services and the SFT industry sales force an easy to use and understand gaming experience that will allow a first approach to the concept of SFT, their uses, available equipment and simulation on the adoption of such technologies. GATES will develop a near-to-market (TRL7) serious game-based training platform that, through the use of a range of gaming technologies (3D scenarios, interactive storytelling, modeling and data), will train professionals and other stakeholders in the value chain in the use of SFT. GATES will develop a cross-platform (Desktop/Mobile/Web) serious gaming available for Android, iOS and Windows featuring online and offline synchronized modes. GATES will represent a successful example on the use of serious gaming as a training tool, applicable on formal and informal educational settings, on a complex and multidisciplinary subject such as SFT, benefitting from serious gaming capabilities such as virtual environments and worlds, personalized tutorial tools, competition between peers, wide personalization to real life and simulated case scenarios, etc.
Agency: European Commission | Branch: H2020 | Program: BBI-RIA | Phase: BBI.VC3.R8-2015 | Award Amount: 4.92M | Year: 2016
The Andes Lupin (Lupinus mutabilis, tarwi) grows excellently in marginal lands due to its excellent foraging characteristics having the ability to fix nitrogen, mobilise soil phosphate and have low nutritional requirements for cultivation. For the increased biomass needed in Europe in coming years and decades we cannot rely on the most fertile lands, which is currently allocated to food production, we need to increase the yield from marginal lands. There the lupin varieties are preponderant, the one providing highest yield (up to 80 ton/ha) is Lupinus mutabilis. Varieties can be chosen for giving this high yield of green silage or high yield of seeds contain more than 20% oil, more than 40% protein and the remainder carbohydrates are mainly oligosaccharides characterized as prebiotics. Andes lupin can be grown as a summer crop in N-central Europe conditions and as winter crop in Mediterranean conditions. Breeding and cropping research is performed in the LIBBIO project for maximizing the yield and value of lupin agriculture in different European marginal lands conditions, with respect to both the farmers and biorefineries. Pre-industrial processing is developed and optimized for the lupin, properties of the different fractions analysed, their advantage for different industrial use evaluated, and a few products developed as an example. With respect to environmental impact the lupin is expected to be superior. It does not need much fertilizer, it enriches the soil with nitrogen and phosphate and is therefore expected to be excellent for crop rotation and soil regeneration. These properties will be evaluated further in the project along with techno-economic and agricultural viability and effect on farm and biorefinery income.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: RUR-11-2016 | Award Amount: 1.99M | Year: 2017
The overall aim of AgriDemo-F2F is to enhance peer-to-peer learning within the commercial farming community. The project will utilize the experience of different actors and involve practitioner partners throughout the project to deepen understanding of effective on farm demonstration activities (multi-actor approach). In a first step, we will conduct a geo-referenced inventory of open commercial farms that engage in demonstration activities in Europe, detailing the sectors, themes and topics on which they provide expertise, and describe the mediation techniques they apply. Case studies will be selected to perform an in-depth comparative analysis. Important dimensions in selection are: 1) a wide-spread geo-graphical coverage within Europe, 2) representative for EU-agricultural sectors, systems and territories and 3) low tech versus high tech in mediation techniques. Case studies will be described, analysed and compared on 1) their network structure (actors, roles and governance characteristics), and 2) the mechanisms and tools used for recruitment, interaction and learning. Furthermore, effectiveness of the different approaches within the case-studies will be assessed through an evaluation of the extent and nature of learning. Both regional and international multi-actor meetings will use the results of the cross comparative case study analysis to i) identify a set of best practical approaches for both the on farm demonstration of research results (science driven) and the spreading of best farming practices among practitioners (innovation driven) and ii) recommendations for AKIS governance and policies on how to support effective on farm demonstration activities. The empowerment of both the commercial farming and policy community to uptake these best practices will occur through structuring the project results and farm demo showcases on the AgriDemo-Hub, an interactive, user oriented, web-map application.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-03-2016 | Award Amount: 3.10M | Year: 2017
The main objective of the project is to design and implement a parameterized, knowledge-based, multi-target food sensitive mini-portable system, with heterogeneous micro-scale photonics for on-the-spot food quality sensing and shelf-life prediction. In particular, the miniaturized smart integrated system will be able to detect food hazards, spoilage (incl. early sign of spoilage) and food fraud through the combined bio-chemical data analysis and additionally will be able to perform food components/additives analysis, food identification and prediction of food shelf-life. The following use case will be addressed during the project: Use case 1: Detection of mycotoxins in various grains and nuts. Aflatoxins detection. A simple, convenient ultraviolet test makes it possible to detect the possible presence of aflatoxin. Use case 2: Detection of early sign of spoilage and spoilage in fruits, vegetables, meat, fish: combined with estimation on product expiration date. Use case 3: Detection of food fraud: Adulteration of alcoholic beverages, oil, milk and meat. 3 sensor devices will be integrated in the miniaturised smart sensor node: i) a MEMS-based near IR spectrometer (950-1900 nm), ii) a UV-VIS spectrometer (450-900 nm) and iii) a micro-camera. Moreover 3 light sources will also be integrated to support the sensing functionality: i) UV-LED, ii) white LED and iii) a miniaturised IR emitter. Smart signal processing of the spectrum images will be performed by an advanced microcontroller, integrated in the sensing device. The data will be communicated to a smartphone device, where the spectroscopy analysis will take place with the help of a cloud-base application connected to a reference database. Advanced detection algorithms will be deployed both in the level of cloud and the smartphone application. PhasmaFOOD system will enable common consumers for on the spot food quality sensing and shelf-life prediction.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: ISIB-02-2015 | Award Amount: 2.00M | Year: 2016
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.