1,720,978 research outputs found
MiniCSS: software per l’ottimizzazione delle strategie di irrigazione e di concimazione azotata delle colture
No full textSEMoLa: a simple and easy modelling language
No full textThis paper describes SEMoLa (simple, easy, modelling language), a declarative modelling
language developed at the Department of Agricultural and Environmental Sciences of the University of
Udine (Italy). SEMoLa language is flexible and particularly suited to model complex ecological and
environmental systems and to manage different types of information. Based on system dynamics
principles and using an integrated approach, SEMoLa simplifies the routinely tasks of implementing,
debugging and evaluating computer simulation models. This modelling language is implemented in a
framework which allows to easily analyse and represent simple and complex system, permitting
simulation model development, even to non-mathematically and programming skilled users.
This paper presents SEMoLa system ontology and its language, together with example models of
different type of systems: state-based and element-based, continuous and event-driven, deterministic
and stochastic
SEMoLa (Simple easy modelling language)
No full textSEMoLa (Simple, Easy to use, MOdelling LAnguage) is a non procedural meta-language to build simulation models for continuous/event driven, deterministic/stochastic systems. The SEMoLa framework has been developed at the Department of Agricultural and Environmental Sciences, University of Udine (Italy) and can be used to represent any system. It is particularly suit to represent biological, ecological and agricultural systems, at different scale and complexity level. The SEMoLa language is integrated in a simulation framework that simplifies the tasks of model building, simulation and documentation; moreover it provides facilities for sensitivity analysis, calibration, validation, data management, statistical analysis, neural network building, unit verification and others. All the available features can be activated using a GUI or by commands, in interactive or batch mode. SEMoLa implements the system analysis concepts (Forrester, 1968; Jørgensen, 1994) through a non procedural declarative logic that makes the code of the model easy to build and read, self-explaining and easy to debug
MiniCSS: software for optimization of crop irrigation and nitrogen fertilization strategies
No full text
Sviluppo e Calibrazione di un Modello Decisionale per la Gestione delle Pratiche Colturali
No full textQUALITÀ DEI PRODOTTI OTTENUTI DA SPREMITURA MECCANICA DI SEMI DI JATROPHA CURCAS L. NON TOSSICA
No full text(2010), “The whole farm planning decisions in a growing uncertain contest”, III Workshop on Valuation Methods in Agro-food and Environmental Economics, "Decisions and choices under uncertainty in Agro-food and Natural Resources Economics", Barcelona, 1st - 2nd July, pp. pp 1-15
No full textMany authors have discussed the consequences of risk or uncertainty in farm planning caused by fluctuation in yield (moderate), deregulation of agricultural policies and wider price fluctuations caused by market volatility in energy market. The economists have developed a suite of contingency plans for the state-events affecting the farm planning and proposed solutions to minimise the effects od adverse risk events (Kaine et al, 1994). Larger yield and quality variability are risky prospects causing wider fluctuation in activity gross margins to be evaluated in farm decision making. This paper will develop this topic with reference to a virtual farm for the simulation of a stochastic production frontier representing a combination of farm enterprises at minimum risk using a linear version of the quadratic approach and separable utility function. The results demonstrate the usefulness of information generated by MOTAD to support farm decisions in a risky contest caused by yield and price fluctuations
- …
