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Modeliranje zgodnje napovedi stopnje alfa-kislin pri hmelju (Humulus lupulus L.)
Viljem Pavlovič, Andreja Čerenak, Martin Pavlovič, Iztok Jože Košir, Črtomir Rozman, Marko Bohanec, 2009, izvirni znanstveni članek

Opis: Analiza soodvisnosti med meteorološkimi spremenljivkami in stopnjo alfa-kislinv kultivarjih hmelja je v obdobju 1994-2008 pokazala, da se slovenski kultivarji zelo podobno odzivajo na vremenske vplive. Testirali smo vplive temperature zraka, količine padavin in dolžine sončevega obsevanja na količino alfa-kislin v storžkih. Vse proučevane meteorološke spremenljivke kažejo v določenih fenoloških fazah hmeljne rastline od najmanj zmerne do visoke stopnje soodvisnosti s stopnjami alfa-kislin testiranih kultivarjev hmelja. Te lahko združimo glede na meteorološke odzive v dve skupini. Aurora, Celeia in Savinjski golding kažejo zelo visoko pozitivno medsebojno korelacijo (r=0,9; p<0,001). Na osnovi analiz soodvisnosti med stopnjami alfa-kislin v kultivarjih hmelja in meteorološkimi spremenljivkami je oblikovan osnutek modela za zgodnje napovedi alfa-kislin za kultivarje hmelja na območju Slovenije. Razultati aplikacije modela potrjujejo njegovo uporabnost za nadaljnje raziskave.
Ključne besede: hmelj, alfa-kisline, vremenski podatki, modeliranje, simulacije
Objavljeno: 10.07.2015; Ogledov: 1202; Prenosov: 25
URL Povezava na celotno besedilo

56.
A Multi-criteria assessment of energy crops for biogas production
Peter Vindiš, Bogomir Muršec, Črtomir Rozman, Franc Čuš, 2010, izvirni znanstveni članek

Opis: This paper presents the system for the assessment of energy crops for biogas production. The system is based on simulation modelling and multi criteria decision analysis. The deterministic simulation system consists of deterministic production simulation models that enable different types of costs calculations for the production of energy crops, electrical and heat energy in biogas production. Simulation model results were further evaluated using a qualitative multi-attribute modelling methodology (supported by the software tool DEX-i) and quantitative analytical hierarchical process - APH (supported by software toll Expert Choice 2000). The Analysis showed that by using current model the most relevant alternative used for energy crop for biogas production is maize. The maize results in the best multicriteria evaluation EC=0.248 and DEX-i evaluation = appropriate. the best alternative for maize is sorghum with multicriteria evaluation of EC=0.201 and DEX-i evaluation = less appropriate.
Ključne besede: simulation model, Expert Choice, AHP, DEX-i, energy, crops, biogas
Objavljeno: 10.07.2015; Ogledov: 737; Prenosov: 23
URL Povezava na celotno besedilo

57.
System dynamics model for policy scenarios of organic farming development
Črtomir Rozman, Karmen Pažek, Jernej Prišenk, Andrej Škraba, Miroljub Kljajić, 2012, izvirni znanstveni članek

Opis: This paper presents the system dynamics of organic farming development in order to support decision making. the model seeks answers to strategic questions related to the level of organically utilized area, levels of production and crop selection in long-term dynamic context. The model will be used for simulation of different policy scenarious for organic farming and their imapct on economic and developmental parameters of organic production atan aggregate level. Using the model, several policy scenarios were performed.
Ključne besede: organic farming, system dynamics, simulation, model
Objavljeno: 10.07.2015; Ogledov: 1009; Prenosov: 275
.pdf Celotno besedilo (350,71 KB)
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58.
Ob padcu kvot za sladkor
Črtomir Rozman, 2013, druga izvedena dela

Ključne besede: sladkorna pesa, kvote
Objavljeno: 10.07.2015; Ogledov: 1199; Prenosov: 31
URL Povezava na celotno besedilo

59.
Pridelava in predelava sladkorne pese
Črtomir Rozman, 2013, radijski ali tv dogodek

Ključne besede: sladkorna pesa
Objavljeno: 10.07.2015; Ogledov: 1026; Prenosov: 56
URL Povezava na celotno besedilo

60.
A Multi-criteria assesment of tourist farm service quality
Črtomir Rozman, Majda Potočnik, Karmen Pažek, Andreja Borec, Darja Majkovič, Marko Bohanec, 2009, izvirni znanstveni članek

Opis: Farm tourism is a significant means of supplementing farmer's incomes. This paper presents a methodology for ranking tourist farms by using a multi-criteria model based on the qualitative multi-criteria modeling methodology, DEX, to assess service quality. The software tool DEXi was used to achieve this end. The model was then applied to seven tourist farms with data derived from questionnaires completed by tourist farm operators and guests. The results are shown as service quality assessments for individual farms. The potential of the model for assessing the farms is demonstrated with the aim of providing a comprehensive explantation and justification of the assessment technique. It also indicates potential improvements that farms can make through "what-if" analysis and visualisation. Despite limitations, such as use of qualitative data only, the approach is proposed as being both appropriate and advantageous when compared with other means of ranking enterprises.
Ključne besede: rural tourism, tourist farm, service quality, multi-criteria modeling, Dexi
Objavljeno: 10.07.2015; Ogledov: 814; Prenosov: 80
URL Povezava na celotno besedilo

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