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Other literature type . 2022
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Project deliverable . 2022
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2022
License: CC BY
Data sources: Datacite
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D6.3 Biophysical model connection modules

Authors: INSTYTUT AGROFIZYKI POLSKIEJ AKADEMII NAUK (IAPAS);

D6.3 Biophysical model connection modules

Abstract

AGRICORE is a research project funded by the European Commission under the RUR-04-2018 call, part of the H2020 programme, which proposes an innovative way to apply agent-based modelling to improve the capacity of policymakers to evaluate the impact of agricultural-related measurements under and outside the framework of the Common Agricultural Policy (CAP). Within the modular architecture of AGRICORE, which is presented in deliverable D6.1 of the Project, the connection of the agent-based simulation module (D6) with a series of external biophysical models (D15) is envisaged. This connection will allow the incorporation of these models into the optimisation-simulation flow of each agent:- On the one hand, the agro-management decisions taken by the agents can be passed as anargument and simulated in the biophysical model to represent the realisation of an agriculturalcampaign, with each agent receiving back its effective yield and the possible effects on itsagricultural land, among other information.- On the other hand, the biophysical models may be used as experimental models for optimisation,generating a series of alternative technological profiles among which the agents must decidewhich to implement. To incorporate either of the two functionalities mentioned above, it is necessary to have connectors that allow the exchange of information between the agents and the biophysical models, as well as the launch of the execution of the biophysical models via command line, without the need to use the specific graphical interface of each model. This document explains the implementation of such connectors (translators) to allow the interconnection of the AGRICORE tool with the WOFOST, DNDC and STICS biophysical models

Keywords

AGRICORE H2020

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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