A Component-Based Framework for Simulating Agricultural Production and Externalities. Donatelli, M.; Russell, G.; Rizzoli, A. E.; Acutis, M.; Adam, M.; Athanasiadis, I. N.; Balderacchi, M.; Bechini, L.; Belhouchette, H.; Bellocchi, G.; Bergez, J.; Botta, M.; Braudeau, E.; Bregaglio, S.; Carlini, L.; Casellas, E.; Celette, F.; Ceotto, E.; Charron-Moirez, M. H.; Confalonieri, R.; Corbeels, M.; Criscuolo, L.; Cruz, P.; Guardo, A.; Ditto, D.; Dupraz, C.; Duru, M.; Fiorani, D.; Gentile, A.; Ewert, F.; Gary, C.; Habyarimana, E.; Jouany, C.; Kansou, K.; Knapen, R.; Filippi, G. L.; Leffelaar, P. A.; Manici, L.; Martin, G.; Martin, P.; Meuter, E.; Mugueta, N.; Mulia, R.; Noordwijk, M.; Oomen, R.; Rosenmund, A.; Rossi, V.; Salinari, F.; Serrano, A.; Sorce, A.; Vincent, G.; Theau, J.; Thérond, O.; Trevisan, M.; Trevisiol, P.; Evert, F. K.; Wallach, D.; Wery, J.; and Zerourou, A. In Brouwer, F. M. and Ittersum, M. K., editors, Environmental and Agricultural Modeling:, pages 63–108. Springer Netherlands.
A Component-Based Framework for Simulating Agricultural Production and Externalities [link]Paper  doi  abstract   bibtex   
Although existing simulation tools can be used to study the impact of agricultural management on production activities in specific environments, they suffer from several limitations. They are largely specialized for specific production activities: arable crops/cropping systems, grassland, orchards, agro-forestry, livestock etc. Also, they often have a restricted ability to simulate system externalities which may have a negative environmental impact. Furthermore, the structure of such systems neither allows an easy plug-in of modules for other agricultural production activities, nor the use of alternative components for simulating processes. Finally, such systems are proprietary systems of either research groups or projects which inhibits further development by third parties. SEAMLESS aims to provide a tool to integrate analyses of impacts on the key aspects of sustainability and multi-functionality, particularly in Europe. This requires evaluating agricultural production and system externalities for the most important agricultural production systems. It also requires a simulation framework which can be extended and updated by research teams, which allows a manageable transfer of research results to operational tools, and which is transparent with respect to its contents and its functionality. The Agricultural Production and Externalities Simulator (APES) is a modular simulation system aimed at meeting these requirements, and targeted at estimating the biophysical behavior of agricultural production systems in response to the interaction of weather and agro-technical management. APES is a framework which uses components that offer simulation options for different processes of relevance to agricultural production systems. Models are described in the associated help files of components, and a shared ontology is built on the web. Components like these, which are designed to be inherently re-usable, that is not targeted specifically to a given modelling framework, also represent a way to share modelling knowledge with other projects and the scientific community in general. This chapter describes the current state of APES development and presents modelling options in the system, and its software architecture.
@incollection{donatelliComponentbasedFrameworkSimulating2010,
  title = {A Component-Based Framework for Simulating Agricultural Production and Externalities},
  booktitle = {Environmental and {{Agricultural Modeling}}:},
  author = {Donatelli, Marcello and Russell, Graham and Rizzoli, Andrea E. and Acutis, Marco and Adam, Myriam and Athanasiadis, Ioannis N. and Balderacchi, Matteo and Bechini, Luca and Belhouchette, Hatem and Bellocchi, Gianni and Bergez, Jacques-Eric and Botta, Marco and Braudeau, Erik and Bregaglio, Simone and Carlini, Laura and Casellas, Eric and Celette, Florian and Ceotto, Enrico and Charron-Moirez, Marie H. and Confalonieri, Roberto and Corbeels, Marc and Criscuolo, Luca and Cruz, Pablo and Guardo, Andrea and Ditto, Domenico and Dupraz, Christian and Duru, Michel and Fiorani, Diego and Gentile, Antonella and Ewert, Frank and Gary, Christian and Habyarimana, Ephrem and Jouany, Claire and Kansou, Kamel and Knapen, Rob and Filippi, Giovanni L. and Leffelaar, Peter A. and Manici, Luisa and Martin, Guillaume and Martin, Pierre and Meuter, Eelco and Mugueta, Nora and Mulia, Rachmat and Noordwijk, Meine and Oomen, Roelof and Rosenmund, Alexandra and Rossi, Vittorio and Salinari, Francesca and Serrano, Ariel and Sorce, Andrea and Vincent, Grégoire and Theau, Jean-Pierre and Thérond, Olivier and Trevisan, Marco and Trevisiol, Patrizia and Evert, Frits K. and Wallach, Daniel and Wery, Jacques and Zerourou, Arezki},
  editor = {Brouwer, Floor M. and Ittersum, Martin K.},
  date = {2010},
  pages = {63--108},
  publisher = {{Springer Netherlands}},
  location = {{Dordrecht}},
  doi = {10.1007/978-90-481-3619-3\\_4},
  url = {https://doi.org/10.1007/978-90-481-3619-3_4},
  abstract = {Although existing simulation tools can be used to study the impact of agricultural management on production activities in specific environments, they suffer from several limitations. They are largely specialized for specific production activities: arable crops/cropping systems, grassland, orchards, agro-forestry, livestock etc. Also, they often have a restricted ability to simulate system externalities which may have a negative environmental impact. Furthermore, the structure of such systems neither allows an easy plug-in of modules for other agricultural production activities, nor the use of alternative components for simulating processes. Finally, such systems are proprietary systems of either research groups or projects which inhibits further development by third parties.

SEAMLESS aims to provide a tool to integrate analyses of impacts on the key aspects of sustainability and multi-functionality, particularly in Europe. This requires evaluating agricultural production and system externalities for the most important agricultural production systems. It also requires a simulation framework which can be extended and updated by research teams, which allows a manageable transfer of research results to operational tools, and which is transparent with respect to its contents and its functionality.

The Agricultural Production and Externalities Simulator (APES) is a modular simulation system aimed at meeting these requirements, and targeted at estimating the biophysical behavior of agricultural production systems in response to the interaction of weather and agro-technical management. APES is a framework which uses components that offer simulation options for different processes of relevance to agricultural production systems. Models are described in the associated help files of components, and a shared ontology is built on the web. Components like these, which are designed to be inherently re-usable, that is not targeted specifically to a given modelling framework, also represent a way to share modelling knowledge with other projects and the scientific community in general.

This chapter describes the current state of APES development and presents modelling options in the system, and its software architecture.},
  isbn = {978-90-481-3618-6},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13492143,~to-add-doi-URL,agricultural-resources,component-based,integrated-modelling,semantics}
}
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