Grant agreement ID: 816078
AGRICORE is a research-intensive innovation project involving 10 entities from 6 European countries that proposes a novel tool for improving the current capacity to model policies dealing with agriculture by taking advantage of latest progresses in modelling approaches and ICT. Specifically, the AGRICORE tool will be built as an agent-based approach where each farm is to be modelled as an autonomous decision-making entity which individually assesses its own context and makes decisions on the basis of its current situation and expectations.
This modelling approach will allow to simulate the interaction between farms and their context (which will account for environment, rural integration, ecosystem services, land use and markets) at various geographic scales – from regional to global. To do so, advances in big data, artificial intelligence algorithms, mathematical solvers and cloud computing services will be applied to optimise the extremely-long parameterisation and calibration phase required by current agent-based tools, to better mimic the modelling of farmers’ behaviour and interactions, to credibly assess the local effects of global events and EU policies, and in general to improve policy design, impact assessments and monitoring.
The AGRICORE consortium is composed of 10 European partners and have a deep knowledge of the sector.AGRICORE is well-balanced between Industrial partners and Academia including 5 industrial partners (SMEs), 1 RTDs and 4 Universities. Universities and research institutes (AUTH, UTP, AKD, UNIPR) will provide the necessary space, equipment, testing and computing facilities. Industrial partners (IDENER, AXIA, STAM, IAPAS, AAT).
The AGRICORE tool will be made as a highly modular and customisable suite, and it will be released as an open-source project so institutions can transparently update and improve the tool as needs arise.
For more information visit H2020 website: http://www.agricore-project.eu
This project has received funding for the European Union H2020’s research and innovation program under the grant agreement number 816078.