scholarly journals SARA: Videojuego Para el Aprendizaje Agrícola Soportado en Dinámica de Sistemas (DS)

2018 ◽  
Vol 3 (1) ◽  
pp. 232
Author(s):  
Urbano Eliécer Gómez Prada
Keyword(s):  
Information System ◽  
Agricultural Production ◽  
Production Systems ◽  
Systems Dynamics ◽  
Web Information System ◽  
Web Information ◽  
Agriculture Systems ◽  
System Knowledge ◽  
Agricultural Production Systems

SARA is a videogame for the learning of agricultural production systems, in which the player simulates the decisions that would take in a greenhouse and concentrate them in a web portal for its subsequent follow-up, traceability and contrast of results in a way that favors the learning process. The game rules are supported in a simulation model elaborated with Systems Dynamics (SD).Keywords: Serious Videogame, Learning, Agriculture, Systems Dynamics, Web Information System, Knowledge Representation

Incorporating systems dynamics and spatial heterogeneity in integrated assessment of agricultural production systems

2006 ◽  
Vol 11 (1) ◽  
pp. 39-58 ◽  
Author(s):  
JOHN M. ANTLE ◽  
JETSE J. STOORVOGEL
Keyword(s):  
Agricultural Production ◽  
Production Systems ◽  
Coupled Model ◽  
Simulation Models ◽  
Systems Dynamics ◽  
Agricultural Systems ◽  
Loosely Coupled ◽  
Coupling Dynamics ◽  
Agricultural Production Systems

Agricultural systems are complex and dynamic, being made up of inter-acting bio-physical and human sub-systems. Moreover, agricultural systems are re-markably diverse, both within geographic regions and across regions. Accordingly, this paper focuses on dynamics and heterogeneity in coupled, multi-disciplinary simulation models of agricultural systems. We begin with a discussion of the principal features of agricultural production systems. We then present an example of a ‘loosely coupled’ model, the type of model most researchers have used to represent agricultural systems. We discuss the loosely coupled model's features and limitations, and show how it can be modified to incorporate feedbacks among sub-models. Finally, we use a case study of a hillside production system in Ecuador to illustrate the importance of model coupling, dynamics and heterogeneity in the analysis of production systems. This example shows that feedbacks and threshold effects are most important at sites most vulnerable to tillage erosion.

Prospects for the development of agrarian production systems in in the Right Bank Polesie of Ukraine

2018 ◽  
Vol 2 (95) ◽  
pp. 69-72
Author(s):  
Yu.A. Tarariko ◽  
L.V. Datsko ◽  
M.O. Datsko
Keyword(s):  
Agricultural Production ◽  
Production Systems ◽  
Economic Feasibility ◽  
Capital Investments ◽  
Resource Potential ◽  
Grain Processing ◽  
Processing And Storage ◽  
The Right ◽  
And Storage ◽  
Agricultural Production Systems

The aim of the work is to assess the existing and prospective models for the development of agricultural production in Central Polesie on the basis of economic feasibility and ecological balance. The evaluation of promising agricultural production systems was carried out with the help of simulation modeling of various infrastructure options at the levels of crop and multisectoral specialization of agroecosystems. The agro-resource potential of Central Polesie is better implemented in the rotation with lupine, corn and flax dolguntsem with well-developed infrastructure, including crop, livestock units, grain processing and storage systems, feed, finished products and waste processing in the bioenergetic station. The expected income for the formation of such an infrastructure is almost 8 thousand dollars. / with a payback period of capital investments of 2-3 years.

Designing sustainable agricultural production systems for a changing world: Methods and applications

2014 ◽  
Vol 126 ◽  
pp. 1-2 ◽  
Author(s):  
S. Dogliotti ◽  
D. Rodríguez ◽  
S. López-Ridaura ◽  
P. Tittonell ◽  
W.A.H. Rossing
Keyword(s):  
Agricultural Production ◽  
Production Systems ◽  
Agricultural Production Systems ◽  
Changing World
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