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Title:
AGENTNI MODEL RAZVOJA EKOLOŠKEGA KMETIJSTVA
Authors:
ID
Finžgar, Nejc
(Author)
ID
Škraba, Andrej
(Mentor)
More about this mentor...
ID
Rozman, Črtomir
(Comentor)
Files:
UNI_Finzgar_Nejc_2010.pdf
(2,27 MB)
MD5: 63173EF3E3C508D9503EE27B65146977
PID:
20.500.12556/dkum/ee024575-6c84-4eac-951e-f0ffe9399090
Language:
Slovenian
Work type:
Undergraduate thesis
Organization:
FOV - Faculty of Organizational Sciences in Kranj
Abstract:
Ekološko kmetijstvo predstavlja človeku in naravi najprijaznejši način kmetovanja. Z namenom, da bi ugotovili, kako se bo ekološko kmetijstvo razvijalo pri nas, si pri predvidevanju pomagamo s simulacijskimi modeli. Cilj pričujoče diplomske naloge je bil zgraditi poskusni agentni model razvoja ekološkega kmetijstva v Sloveniji in ugotoviti, ali je ta način modeliranja primeren za proučevanje tega procesa. Na podlagi rezultatov lahko sklepamo, da si z agentnim modeliranjem lahko pomagamo pri predvidevanju razvoja ekološkega kmetijstva.
Keywords:
dogodkovna simulacija
,
agentno modeliranje
,
ekološko kmetijstvo
Place of publishing:
Kranj
Year of publishing:
2010
PID:
20.500.12556/DKUM-14209
COBISS.SI-ID:
6699539
NUK URN:
URN:SI:UM:DK:MNND0R8W
Publication date in DKUM:
02.09.2010
Views:
3018
Downloads:
386
Metadata:
Categories:
FOV
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:
FINŽGAR, Nejc, 2010,
AGENTNI MODEL RAZVOJA EKOLOŠKEGA KMETIJSTVA
[online]. Bachelor’s thesis. Kranj. [Accessed 25 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=14209
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Secondary language
Language:
English
Title:
AGENT BASED MODEL FOR DEVELOPMENT OF ORGANIC FARMING
Abstract:
Organic farming is the most environmentally and people friendly form of agriculture. In order to better predict the development of organic farming we employ simulation models. The goal of this graduation thesis was to build an experimental agent based model for the development of organic farming in Slovenia and deduce whether we can use agent based models to simulate this kind of process. We conclude that agent based modeling can be used to help predict the development of organic farming.
Keywords:
discrete event simulation
,
agent based modeling
,
organic farming
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