|
Modelling frameworks are used in modelling and simulation and can consist of a software infrastructure to develop and run mathematical models. They have provided a substantial step forward in the area of biophysical modelling with respect to monolithic implementations.〔Donatelli, M., J. Bolte, F. van Evert and W. Wang, 2003 Which software designs for evolution. In: van Ittersum M.K., Donatelli M. (Eds.), Modelling cropping systems: science, software and applications.( European Journal of Agronomy 18, 193-195. )〕〔Rizzoli A.E., G. Leavesley, J.C. Ascough II, R.M. Argent , I.N. Athanasiadis, V. Brilhante, F.H.A. Claeys, O. David, M. Donatelli i, P. Gijsbers, D. Havlik, A. Kassahun, P. Krause 2008 (Environmental modelling, software and decision support - state of the art and new perspectives Elsevier 101-119 )〕〔Argent, R.M., 2004. (An overview of model integration for environmental applicationsócomponents, frameworks and semantics, Environmental Modelling & Software, Volume 19, 3:219-234 )〕 The separation of algorithms from data, the reusability of I/O procedures and integration services, and the isolation of modelling solutions in discrete units has brought a solid advantage in the development of simulation systems. Modelling frameworks for agriculture have evolved over time, with different approaches and targets〔Holzworth D.P. , Snow V., Janssen S., Athanasiadis I.N., Donatelli M., Hoogenboom G., White J.W., Thorburn P., 2015. Agricultural production systems modelling and software: Current status and future prospects, Enrironmental Modelling and Software ()〕 BioMA is a software framework developed focusing on platform-independent, re-usable components, including multi-model implementations at fine granularity. == BioMA - Biophysical Model Applications == BioMA (Biophysical Model Applications) is a public domain software framework designed and implemented for developing, parameterizing and running modelling solutions based on biophysical models in the domains of agriculture and environment.〔Donatelli M., Cerrani I., Fanchini D., Fumagalli. D., Rizzoli A. 2012. Enhancing Model Reuse via Component-Centered Modeling Frameworks: the Vision and Example Realizations. In: International Environmental Modelling and Software Society (iEMSs), 2012 International Congress on Environmental Modelling and Software, Managing Resources of a Limited Planet, Sixth Biennial Meeting, Leipzig, Germany, R. Seppelt, A.A. Voinov, S. Lange, D. Bankamp (Eds.) (PDF )〕 It is based on discrete conceptual units codified in freely extensible software components .〔Donatelli M., Rizzoli A. 2008 A design for framework-independent model components of biophysical systems International Congress onEnvironmental Modelling and Software iEMSs 2008 Proceedings of theiEMSs Fourth Biennial Meeting, Barcelona, Catalonia 7–10 July 2008: 727-734 (PDF )〕 The goal of this framework is to rapidly bridge from prototypes to operational applications, enabling running and comparing different modelling solutions. A key aspect of the framework is the transparency which allows for quality evaluation of outputs in the various steps of the modelling workflow. The framework is based on framework-independent components, both for the modelling solutions and the graphical user's interfaces. The goal is not only to provide a framework for model development and operational use but also, and of no lesser importance, to provide a loose collection of objecst re-usable either standalone or in different frameworks. The software is developed using Microsoft C# language in the .NET framework. The framework is a development of the work carried out under the APES 〔Donatellli M., G. Russell, A.E Rizzoli, et al. 2010 A component-based framework for simulating agricultural production and externalities. (In: Environmental and agricultural modelling: Integrated approaches for policy impact assessment, F.Brouwer and M. van Ittersum editors, Springer, 63-108 )〕 (task ) of the 6th EU Framework Programm (SEAMLESS project ). Deployments of the platform and its tools and components have been used to create weather datasets for biophysical simulation,〔Donatelli M., Fumagalli D., Zucchini A., Duveiller G., Nelson R.L., Baruth B. 2012. A EU27 Database of Daily Weather Data Derived from Climate Change Scenarios for Use with Crop Simulation Models. In: International Environmental Modelling and Software Society (iEMSs), 2012 International Congress on Environmental Modelling and Software, Managing Resources of a Limited Planet, Sixth Biennial Meeting, Leipzig, Germany, R. Seppelt, A.A. Voinov, S. Lange, D. Bankamp (Eds.) ( PDF )〕 to estimate the impact on crop production in Europe,〔Donatelli M., Duveiller G., Fumagalli D., Srivastava A., Zucchini A., Angileri V., Fasbender D., Loudjani P., Kay S., Juskevicius V., Toth T., Haastrup P., Míbarek R., Espinosa M., Ciaian P., Niemeyer S. 2011 Assessing Agriculture Vulnerabilities for the design of Effective Measures for Adaption to Climate Change AVEMAC project. (PDF )〕 and adaptation,〔Donatelli M., Srivastava A., Duveiller G., Niemeyer S. 2012. Estimating Impact Assessment and Adaptation Strategies under Climate Change Scenarios for Crops at EU27 Scale. In: International Environmental Modelling and Software Society (iEMSs), 2012 International Congress on Environmental Modelling and Software, Managing Resources of a Limited Planet, Sixth Biennial Meeting, Leipzig, Germany, R. Seppelt, A.A. Voinov, S. Lange, D. Bankamp (Eds.) (PDF )〕〔Donatelli M., Srivastava A.K., Duveiller G., Niemeyer S., Fumagalli D., 2015. Climate change impact and potential adaptation strategies under alternate realizations of climate scenarios for three major crops in Europe, (Environ. Res. Lett. 10 )〕 to simulate soil pathogens under climate change,〔Manici L., Donatelli M., Fumagalli D., Lazzari A., Bregaglio S. 2012 Potential Response of Soil-Borne Fungal Pathogens Affecting Crops to a Scenario of Climate Change in Europe. In: International Environmental Modelling and Software Society (iEMSs), 2012 International Congress on Environmental Modelling and Software, Managing Resources of a Limited Planet, Sixth Biennial Meeting, Leipzig, Germany, R. Seppelt, A.A. Voinov, S. Lange, D. Bankamp (Eds.) (PDF )〕〔Manici L. M. , Bregaglio S., Fumagalli D., Donatelli M. 2014. Modelling soil borne fungal pathogens of arable crops under climate change, (International Journal of Biometereology )〕 to simulate the survival of insects damaging maize under climate change 〔Maiorano A, Cerrani I, Fumagalli D, Donatelli M, 2013. New biological model to manage the impact of climate warming on maize corn borers. ( Agronomy for Sustainable Development ),〕 to estimate crop suitability to environment,〔Confalonieri R., Francone C., Cappelli G., Stella T., Frasso N., Carpani M., Bregaglio S., Acutis M., Tubiello, F.N., Fernandes E., 2012. A multi-approach software library for estimating crop suitability to environment.( Computers and Electronics in Agriculture 90: 170-175. )〕 to perform modelling solutions comparison at sub-model level,〔Donatelli M., Bregaglio S., Confalonieri R., De Mascellis R., Acutis M., 2014. A generic framework for evaluating hybrid models by reuse and composition – A case study on soil temperature simulation, ISSN 1364-8152, (Environmental Modelling & Software )〕 to develop a library of reusable models for crop development and growth,〔Stella T., Frasso N., Negrini G., Bregaglio S., Cappelli G., Acutis M., Confalonieri R., 2014. Model simplification and development via reuse, sensitivity analysis and composition: A case study in crop modelling. Environmental Modelling & Software, 59:44–58 ()〕 to estimate the impact of climate change on crop production in Latin America,〔Confalonieri R., Donatelli M., Bregaglio S., Tubiello F.N., Fernandes E. 2012. Agroecological Zones Simulator (AZS): A component based, open-access, transparent platform for climate change Crop productivity impact assessment in Latin America. In: International Environmental Modelling and Software Society (iEMSs), 2012 International Congress on Environmental Modelling and Software, Managing Resources of a Limited Planet, Sixth Biennial Meeting, Leipzig, Germany, R. Seppelt, A.A. Voinov, S. Lange, D. Bankamp (Eds.) (PDF )〕 to estimate fungal infections,〔Bregaglio, S.; Donatelli, M.; Confalonieri, R. 2013. Fungal infections of rice, wheat, and grape in Europe in 2030-2050.( Agronomy for Sustainable Development 33: 4,767-776 )〕〔Bregaglio, 2012. Definition and implementation of plant disease simulation models in interaction with crop models, Ph.D. Thesis, University of Milan (PDF )〕〔Bregaglio, S., Cappelli, G., Donatelli, M., 2012. Evaluating the suitability of a generic fungal infection model for pest risk assessment studies. (Ecological Modelling 247, 58-63 )〕 to estimate agro-meteorological variables,〔Bregaglio S., Donatelli M., Confalonieri R., Acutis M., Orlandini S., 2011. Multi metric evaluation of leaf wetness models for large-area application of plant disease models. ( Agricultural and Forest Meteorology, 151: 1163-1172. )〕〔Bregaglio S., Donatelli M., Confalonieri R., Acutis M., Orlandini S., 2010. An integrated evaluation of thirteen modelling solutions for the generation of hourly values of air relative humidity. (Theoretical and Applied Climatology 102:429-438 )〕〔Donatelli M., Bellocchi G., Habyarimana E., Bregaglio S., Baruth B., 2010. AirTemperature: Extensible Software Library to Generate Air Temperature Data, (SRX Computer Science, vol. 2010 )〕〔Confalonieri R., Bellocchi G., Donatelli M., 2010. A software component to compute agro-meteorological indicators. (Environmental Modelling & Software, 25:1485-1486 )〕〔Donatelli M., Bellocchi G., Habyarimana E., Confalonieri R., Micale F., 2009. An extensible model library for generating wind speed data. (Computers and Electronics in Agriculture, 69:165-170 )〕〔Carlini L., Bellocchi G., Donatelli M., 2006. Rain, a software component to generate synthetic precipitation data. (Agronomy Journal, 98: 1312-1317 )〕〔Donatelli M., Carlini L., Bellocchi G., 2006. A software component for estimating solar radiation. (Environmental Modelling and Software 21, 3:411-416 )〕〔Donatelli M., Bellocchi G., Carlini L., 2006. Sharing knowledge via software components: models on reference evapotranspiration. (European Journal of Agronomy 24, 2:186-192 )〕 to develop a library of functions to estimate soil hydraulic properties,〔Acutis M., Donatelli M., Lanza Filippi G. 2008. PTF: an Extensible Component for Sharing and Using Knowledge on Pedo-Transfer Functions, International Congress on Environmental Modelling and Software. Proceedings of the iEMSs Fourth Biennial Meeting, Barcelona, Catalonia 7–10 July 2008: 759-765 (PDF )〕 to estimate quality of agricultural products.〔Cappelli, G., Bregaglio, S., Romani, M., Feccia, S., Confalonieri, R., 2014. A software component implementing a library of models for the simulation of pre-harvest rice grain quality. Computers and Electronics in Agriculture, 104, 18-24 ()〕 BioMA is the simulation tool used by the (MARS unit ) of the European Commission to simulate agricultural production under scenarios of climate change. BioMA is also used in the EU FP7 project (MODEXTREME ). 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「BioMA」の詳細全文を読む スポンサード リンク
|