Over the last decade, the Common Agricultural Policy (CAP) has been focused on the reinforcement of the support for rural development across the EU, the improvement of the integration of environmental requirements and the increase of market orientation for agriculture. Currently applied agricultural models (e.g. AGLINK-COSIMO, CAPRI, AGMEMOD, AROPAj, MAGNET) were initially developed to model early CAP instruments. However, such models are not capable to represent many of the new policy instruments, to capture farm heterogeneity and to address a finer geographical scale than the regional level. In response to these needs, agent-based modeling has appeared in the last years as a powerful modeling technique able to tackle these modeling challenges.
The AGRICORE project, led by IDENER, gathers 9 partners from 6 different nationalities to develop a novel tool for improving the current capacity to model policies dealing with agriculture by taking advantage of the latest signs of progress in modeling approaches and ICT.
Specifically, the AGRICORE tool will be built as an agent-based approach where each farm is to be modeled as an autonomous decision-making entity that individually assesses its context and makes decisions based on its current situation and expectations. This modeling approach will allow simulating 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 tool will be made as a highly modular and customizable suite, and it will be released as an open-source project so institutions can transparently update and improve the tool as needs arise.
IDENER will be the coordinator of the project and, accordingly, some of its main tasks will be those related to the proper management and coordination of the project execution, including project monitoring, meeting preparation and technical and financial reporting to the Commission.
At the technical level, IDENER will oversee the implementation of the agent-based model (WP3), the AGRICORE architecture (WP6) and the integration of the AGRICORE modules (WP6), leading both WPs. Besides, IDENER will lead the implementation of the Synthetic population generation and the Agent-based simulation modules and will be involved in the development of the other modules composing the AGRICORE suite. Lastly, together with CAAND, IDENER will be in charge of the Spanish use case (WP7), which consists of the implementation of ex-ante and ex-post impact assessment for the regional measure M11 Ecologic agriculture in Andalusia, specifically, in the olive sector.
- Client European Commission
- Date 1 September, 2019
- Tags Control Engineering, Expertise area, Funding type, ICTs, Public - H2020, Research area, Software Engineering
- Programme Horizon 2020
- Call ID H2020-RUR-2018-2020
- Client European Commission
- Partners OPTIMIZACION ORIENTADA A LA SOSTENIBILIDAD SL, ARISTOTELIO PANEPISTIMIO THESSALONIKIS, AXIA INNOVATION UG, UNIVERSITA DEGLI STUDI DI PARMA, STAM SRL, INSTYTUT AGROFIZYKI POLSKIEJ AKADEMII NAUK, AYESA ADVANCED TECHNOLOGIES, COOPERATIVAS AGROALIMENTARIAS DE ANDALUCIA, AKDENIZ UNIVERSITY, UNIWERSYTET TECHNOLOGICZNO PRZYRODNICZY IM JANA I JEDRZEJA SNIADECKICH W BYDGOSZCZY
- Project cost 3,937,248.75€
- Start date 1st Septemeber, 2019
- End date 31st August, 2023