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AGRICORE

financed

Agent based support tool for the development of agriculture policies

The AGRICORE project 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 wil... see more

30/06/2024

OPTIMIZACION ORIEN...

4M€

Project Budget: 4M€

Project leader

OPTIMIZACION ORIENTADA A LASOSTENIBILIDAD Servicios de idi, ingeniería y consultoría de carácter científico, tecnológico y de automatización de procesos y sistemas, en las áreas de e...

TRL 4-5 | 4M€

PARTICIPATION DEPralty Sin fecha límite de participación.

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Financing granted El organismo H2020 notifico la concesión del proyecto The day 2024-06-30

RUR-04-2018-2019: Analytical tools and models to supp...

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Cerrada does 6 years

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11 Participantes

OPTIMIZACION ORIENTADA A LAS...

972.88K€ | Leader

COOP AGRO-ALIMENTARIAS DE AN...

180.60K€ | participant

INSTITUTE OF AGROPHYSICS POL...

391.25K€ | participant

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Project duration: 61 months Date Start: 2019-05-07
End date: 2024-06-30

Project leader

OPTIMIZACION ORIENTADA A LASOSTENIBILIDAD Servicios de idi, ingeniería y consultoría de carácter científico, tecnológico y de automatización de procesos y sistemas, en las áreas de e...

TRL 4-5 | 4M€

Project Budget 4M€

participation deadline Sin fecha límite de participación.

Project description The AGRICORE project 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 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.

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