This page has only limited features, please log in for full access.
Purpose This paper aims to analyse the main variables and causal relationships in the system structure of the diversification of non-agricultural activities on agricultural holdings using system dynamics (SD) modelling. The SD model aims to simulate depictions of the behaviour of the real system while testing the effects of alternative decisions over time. Design/methodology/approach An SD methodology was chosen to model diversification in farm tourism. Findings A system approach increases the authors’ understanding of the transition of agricultural holdings to farm tourism. The results indicate that the transition to farm tourism depends on the level of tourism development in a certain area. The system is influenced by subsidies allocated by authorities to expand primary agricultural activities. The model describes a situation in which the tourism and agricultural industries have been affected by the COVID-19 pandemic. Research limitations/implications The research is limited by the small set of available data due to the limited number of farms in Slovenia. One major problem is the difference in statistical data on the same activity collected from different institutions in Slovenia. Practical implications The paper includes implications for understanding the transition process to farm tourism, allowing policymakers to experiment with subsidies and promotion to explore the efficacy and efficiency of proposed policies. Originality/value This study provides a structured, systemic view of the diversification of non-agricultural activities on agricultural holdings, where the simulation results are a reliable reflection of the behaviour of the actual system being modelled.
Maja Žibert; Boris Prevolšek; Karmen Pažek; Črtomir Rozman; Andrej Škraba. Developing a diversification strategy of non-agricultural activities on farms using system dynamics modelling: a case study of Slovenia. Kybernetes 2021, ahead-of-p, 1 .
AMA StyleMaja Žibert, Boris Prevolšek, Karmen Pažek, Črtomir Rozman, Andrej Škraba. Developing a diversification strategy of non-agricultural activities on farms using system dynamics modelling: a case study of Slovenia. Kybernetes. 2021; ahead-of-p (ahead-of-p):1.
Chicago/Turabian StyleMaja Žibert; Boris Prevolšek; Karmen Pažek; Črtomir Rozman; Andrej Škraba. 2021. "Developing a diversification strategy of non-agricultural activities on farms using system dynamics modelling: a case study of Slovenia." Kybernetes ahead-of-p, no. ahead-of-p: 1.
In this Chapter we present the development of post graduate Doctoral Study Programmes in the field of Agricultural Economics at the University of Maribor. The first part of the Chapter describes the development before implementation of the Bologna reform. Then we describe development after the Bologna reform, and after the last reform of Doctoral Studies at the University of Maribor in 2018.
Črtomir Rozman; Karmen Pažek; Jernej Turk. Development of Doctoral Programmes in the Field of Agricultural Economics at the University Of Maribor. MARDS Workshop Proceedings 2020, 31 -38.
AMA StyleČrtomir Rozman, Karmen Pažek, Jernej Turk. Development of Doctoral Programmes in the Field of Agricultural Economics at the University Of Maribor. MARDS Workshop Proceedings. 2020; ():31-38.
Chicago/Turabian StyleČrtomir Rozman; Karmen Pažek; Jernej Turk. 2020. "Development of Doctoral Programmes in the Field of Agricultural Economics at the University Of Maribor." MARDS Workshop Proceedings , no. : 31-38.
In this paper, the quality of the municipal waste sorting process in seven waste management centers in Slovenia was assessed using the qualitative multicriteria analysis (MCA) method DEX (Decision EXpert) implemented in DEXi software, which is based on multicriteria decomposition of the problem and utility functions in the form of “if–then” decision rules. The study was based on eight types of secondary raw materials. The quality of the secondary raw materials, the regularity of the delivery of secondary raw materials to recycling units based on the sorting efficiency, and the loading weight of the individual baled fractions in the transport of secondary raw materials for recycling were the main parameters used in the model. The final assessment shows “good” waste management service in centers A and D. Centers B, C, and F were rated “average”. The “bad” rating was assigned to centers E and G.
Karmen Pažek; Jernej Prišenk; Simon Bukovski; Boris Prevolšek; Črtomir Rozman. Multicriteria Assessment of the Quality of Waste Sorting Centers—A Case Study. Sustainability 2020, 12, 3780 .
AMA StyleKarmen Pažek, Jernej Prišenk, Simon Bukovski, Boris Prevolšek, Črtomir Rozman. Multicriteria Assessment of the Quality of Waste Sorting Centers—A Case Study. Sustainability. 2020; 12 (9):3780.
Chicago/Turabian StyleKarmen Pažek; Jernej Prišenk; Simon Bukovski; Boris Prevolšek; Črtomir Rozman. 2020. "Multicriteria Assessment of the Quality of Waste Sorting Centers—A Case Study." Sustainability 12, no. 9: 3780.
This paper explores ethno-villages in Bosnia and Herzegovina as an important element of rural and cultural tourism. The attractiveness of natural and cultural heritage is very important for sustainable rural tourism development. In order to improve the process of decision making to enable the sustainable development of ethno-villages, a multi-criteria assessment model has been developed. The methodology is based on qualitative modeling using a multi-criteria analysis via the DEXi software. The model is based on hierarchical relations consisting of three main criteria that are the basis of sustainable tourism development: economic, social, and environmental criteria. The ultimate goal of the model in this study was to evaluate ethno-villages, namely six ethno-villages in Bosnia and Herzegovina. The results of the study show how ethno-villages contribute to sustainable development.
Boris Prevolšek; Aleksandar Maksimović; Adis Puška; Karmen Pažek; Maja Žibert; Črtomir Rozman. Sustainable Development of Ethno-Villages in Bosnia and Herzegovina—A Multi Criteria Assessment. Sustainability 2020, 12, 1399 .
AMA StyleBoris Prevolšek, Aleksandar Maksimović, Adis Puška, Karmen Pažek, Maja Žibert, Črtomir Rozman. Sustainable Development of Ethno-Villages in Bosnia and Herzegovina—A Multi Criteria Assessment. Sustainability. 2020; 12 (4):1399.
Chicago/Turabian StyleBoris Prevolšek; Aleksandar Maksimović; Adis Puška; Karmen Pažek; Maja Žibert; Črtomir Rozman. 2020. "Sustainable Development of Ethno-Villages in Bosnia and Herzegovina—A Multi Criteria Assessment." Sustainability 12, no. 4: 1399.
In this chapter, we present and evaluate three different infield navigation algorithms, based on the readings from a LIDAR sensor. All three algorithms are tested on a small field robot and used to autonomously drive the robot between the two adjacent rows of maze plants. The first algorithm is the simplest one and just takes distance readings from the left and right side. If robot is not in the center of the mid-row space, it adjusts its course by turning the robot in the right direction accordingly. The second approach groups the left and right readings into two vertical lines by using least-square fit approach. According to the calculated distance and orientation to both lines, it adjusts the course of the robot. The third approach tries to fit an optimal triangle between the robot and the plants, revealing the most optimal one. Based on its shape, the course of the robot is adjusted. All three algorithms are tested in a simulated (ROS stage) and then in an outdoor (maze test field) environment comparing the optimal line with the actual calculated position of the robot. The tests prove that all three approaches work with an error of 0.041 ± 0.034 m for the first algorithm, 0.07 ± 0.059 m for the second, and 0.078 ± 0.055 m error for the third.
Peter Bernad; Peter Lepej; Črtomir Rozman; Karmen Pažek; Jurij Rakun. An Evaluation of Three Different Infield Navigation Algorithms. Agricultural Robots - Fundamentals and Applications 2019, 1 .
AMA StylePeter Bernad, Peter Lepej, Črtomir Rozman, Karmen Pažek, Jurij Rakun. An Evaluation of Three Different Infield Navigation Algorithms. Agricultural Robots - Fundamentals and Applications. 2019; ():1.
Chicago/Turabian StylePeter Bernad; Peter Lepej; Črtomir Rozman; Karmen Pažek; Jurij Rakun. 2019. "An Evaluation of Three Different Infield Navigation Algorithms." Agricultural Robots - Fundamentals and Applications , no. : 1.
Background and Purpose: The purpose of this study is to describe the principles of the development of parallel system-dynamics and agent-based models of organic farming for the case of Slovenia. The advantage of agent-based modeling is demonstrated by including geospatial information as an agent attribute. The models were compared by the validation, confirming the appropriate level of similarity. Design/Methodology/Approach: Both system-dynamics and agent-based modeling approaches were applied. Statistical methods were used in the validation. Results: The results of the validation confirm the appropriateness of the proposed agent-based model. Introducing additional attributes into the agent-based model provides an important advantage over the system-dynamics model, which serves as the paradigmatic example. Conclusion: A thorough validation and comparison of the results of the system-dynamics and agent-based models indicates the proper approach to combining the methodologies. This approach is promising, because it enables the modeling of the entire agricultural sector, taking each particular farm into account.
Črtomir Rozman; Andrej Škraba; Karmen Pažek; Davorin Kofjač. Validation of Agent-based Approach for Simulating the Conversion to Organic Farming. orga 2017, 50, 235 -242.
AMA StyleČrtomir Rozman, Andrej Škraba, Karmen Pažek, Davorin Kofjač. Validation of Agent-based Approach for Simulating the Conversion to Organic Farming. orga. 2017; 50 (3):235-242.
Chicago/Turabian StyleČrtomir Rozman; Andrej Škraba; Karmen Pažek; Davorin Kofjač. 2017. "Validation of Agent-based Approach for Simulating the Conversion to Organic Farming." orga 50, no. 3: 235-242.
The success or failure of an investment project in fruit production also depends on the selection of the fruit species and variety. When selecting the variety for the creation of a new orchard it is necessary to perform the synthesis of different data and to look at all aspects of the investment. This paper presents the application of DEX multi-criteria decision making. The model was applied on 7 varieties of plum from the western Balkans region that were assessed by experts from “The association of agricultural economists of Western Balkans” using the Delphi method. By applying this model it has been shown that the ’Stanley’ is the most suitable for starting a new orchard while the varieties ’Čačanska ljepotica’ and ’Čačanska rodna’ are also very suitable for starting new fruit orchards and they have also received the value attribute “very acceptable”. Using this model all strong and weak sides of the observed plum variety were shown. For the final selection it is necessary to conduct research at a specific micro location where all characteristics of that area would also be taken into consideration.
Črtomir Rozman; Aleksandar Maksimović; Adis Puška; Zoan Grgić; Karmen Pažek; Boris Prevolšek; Ferhat Ćejvanović. The Use of Multi Criteria Models for Decision Support System in Fruit Production. Erwerbs-Obstbau 2017, 59, 235 -243.
AMA StyleČrtomir Rozman, Aleksandar Maksimović, Adis Puška, Zoan Grgić, Karmen Pažek, Boris Prevolšek, Ferhat Ćejvanović. The Use of Multi Criteria Models for Decision Support System in Fruit Production. Erwerbs-Obstbau. 2017; 59 (3):235-243.
Chicago/Turabian StyleČrtomir Rozman; Aleksandar Maksimović; Adis Puška; Zoan Grgić; Karmen Pažek; Boris Prevolšek; Ferhat Ćejvanović. 2017. "The Use of Multi Criteria Models for Decision Support System in Fruit Production." Erwerbs-Obstbau 59, no. 3: 235-243.
In this study, we focused on the possibility of forecasting the development of skin color in apples on the basis of weather forecast by using a machine learning methods. We used supervised learning and generated models via the use of six decision trees. The purpose of the research was to build models that would allow for in-practice-acceptable accuracy in the prediction of the development of fruit skin color (especial a colour parameter a*), for three apple varieties. For cv. ‘Gala, Brookfield’, the most accurate models were generated by using decision tree J48 (89.13% accuracy). For late ripening cv. ‘Fuji, Kiku 8’ and cv. ‘Braeburn, Maririred’, the most accurate model was obtained by using decision tree LMT (91.73 and 96.65% accuracy). The data confirm that the applicability of predictive models strongly depends on the accuracy of weather forecasts. In regard to the seven-day weather forecast, which was used for expert models, the accuracy of the models was, on average, reduced by 10.73%.
Blaž Germšek; Črtomir Rozman; Tatjana Unuk. Forecasting Apple Fruit Color Intensity with Machine Learning Methods. Erwerbs-Obstbau 2016, 59, 109 -118.
AMA StyleBlaž Germšek, Črtomir Rozman, Tatjana Unuk. Forecasting Apple Fruit Color Intensity with Machine Learning Methods. Erwerbs-Obstbau. 2016; 59 (2):109-118.
Chicago/Turabian StyleBlaž Germšek; Črtomir Rozman; Tatjana Unuk. 2016. "Forecasting Apple Fruit Color Intensity with Machine Learning Methods." Erwerbs-Obstbau 59, no. 2: 109-118.
Črtomir Rozman; Zoran Grgić; Aleksandar Maksimović; Ferhat Ćejvanović; Adis Puška; Branka Šakić Bobić. Multiple-criteria approach of evaluation of milk farm models in Bosnia and Herzegovina. Mljekarstvo 2016, 66, 206 -214.
AMA StyleČrtomir Rozman, Zoran Grgić, Aleksandar Maksimović, Ferhat Ćejvanović, Adis Puška, Branka Šakić Bobić. Multiple-criteria approach of evaluation of milk farm models in Bosnia and Herzegovina. Mljekarstvo. 2016; 66 (3):206-214.
Chicago/Turabian StyleČrtomir Rozman; Zoran Grgić; Aleksandar Maksimović; Ferhat Ćejvanović; Adis Puška; Branka Šakić Bobić. 2016. "Multiple-criteria approach of evaluation of milk farm models in Bosnia and Herzegovina." Mljekarstvo 66, no. 3: 206-214.
Selection of a proper cultivar is one of the most important management decisions when investing into apple orchard. This paper presents a methodology for evaluation of suitability for cultivation of some apple cultivars by using a multi-criteria model based on analytical hierarchy process. The software tool Expert Choice was used to support growers in making decisions about which new apple cultivar to grow. The model was applied to 13 cultivars with data derived from questionnaires completed by group of experts of different fields (orchardists, experts for fruit production economics and fruit marketing, cultivar breeders, experts of state service and commission for introduction of new cultivars, experts for fruit storage and fruit quality assessment, plant protection and fruit growing advisers). The results are shown as priority for individual cultivar. The potential of the model for assessing apple cultivar is demonstrated with the aim of providing a comprehensive explanation and justification of the assessment technique. It also indicates strong and weak points (in market potential, fruit estimation, production demands and tree estimation) of each assessed cultivar. Bei der Ausgestaltung und betrieblichen Planung von Geschäftsalternativen in der Betriebswirtschaftslehre gewinnt die multikriterielle Bewertung immer stärker an Bedeutung. Der vorliegende Beitrag erörtert, wie verschiedene Kriterien bei der Apfelsortenbewertung gemeinsam berücksichtig werden können. Sortenauswahl bei der Neupflanzung einer Apfelanlage ist eine der wichtigsten Entscheidungen in der Obstbaubetriebswirtschaft. In diesem Artikel wird die Sortenauswahl mit der Anwendung der multikriteriellen Methode, basierend auf dem analytischen Hierarchieprozess, dargestellt. Die Methode wurde durch Expert Choice Software implementiert. Das Modell wurde an 13 Apfelsorten angewandt. Dabei wurden 17 verschiedene Expertenmeinungen in eine einzige Wertung aggregiert.
Črtomir Rozman; Monika Hühner; Matej Kolenko; Stanislav Tojnko; Tatjana Unuk; Karmen Pažek. Apple Variety Assessment with Analytical Hierarchy Process. Erwerbs-Obstbau 2015, 57, 97 -104.
AMA StyleČrtomir Rozman, Monika Hühner, Matej Kolenko, Stanislav Tojnko, Tatjana Unuk, Karmen Pažek. Apple Variety Assessment with Analytical Hierarchy Process. Erwerbs-Obstbau. 2015; 57 (2):97-104.
Chicago/Turabian StyleČrtomir Rozman; Monika Hühner; Matej Kolenko; Stanislav Tojnko; Tatjana Unuk; Karmen Pažek. 2015. "Apple Variety Assessment with Analytical Hierarchy Process." Erwerbs-Obstbau 57, no. 2: 97-104.
Črtomir Rozman; Miroljub Kljajic; Andrej Škraba. System Dynamics Model for Conversion to Organic Farming. Journal of Siberian Federal University. Mathematics & Physics 2015, 8, 64 -74.
AMA StyleČrtomir Rozman, Miroljub Kljajic, Andrej Škraba. System Dynamics Model for Conversion to Organic Farming. Journal of Siberian Federal University. Mathematics & Physics. 2015; 8 (1):64-74.
Chicago/Turabian StyleČrtomir Rozman; Miroljub Kljajic; Andrej Škraba. 2015. "System Dynamics Model for Conversion to Organic Farming." Journal of Siberian Federal University. Mathematics & Physics 8, no. 1: 64-74.
Andrej Škraba; Davorin Kofjac; Anja Žnidaršič; Matjaz Maleti; Črtomir Rozman; Maria E. Semenkina; Eugene S. Semenkin; Vladimir V. Stanovov. Application of Self-Gonfiguring Genetic Algorithm for Human Resource Management. Journal of Siberian Federal University. Mathematics & Physics 2015, 8, 94 -103.
AMA StyleAndrej Škraba, Davorin Kofjac, Anja Žnidaršič, Matjaz Maleti, Črtomir Rozman, Maria E. Semenkina, Eugene S. Semenkin, Vladimir V. Stanovov. Application of Self-Gonfiguring Genetic Algorithm for Human Resource Management. Journal of Siberian Federal University. Mathematics & Physics. 2015; 8 (1):94-103.
Chicago/Turabian StyleAndrej Škraba; Davorin Kofjac; Anja Žnidaršič; Matjaz Maleti; Črtomir Rozman; Maria E. Semenkina; Eugene S. Semenkin; Vladimir V. Stanovov. 2015. "Application of Self-Gonfiguring Genetic Algorithm for Human Resource Management." Journal of Siberian Federal University. Mathematics & Physics 8, no. 1: 94-103.
Background: The sugar beet is the main field crop used for sugar production in the temperate climatic zone. The abolishment of the quota system will open new investment opportunities in countries that were forced to abandon sugar industry as the result of the reform in 2006. Present paper describes the modeling of sugar beet production and its processing into sugar for purpose of decision support. Methods: A system dynamics methodology was chosen to model impacts of regional sugar factory investment. We present two basic concepts of system dynamics models at causal loop diagram level. The first holistic model deals with regional planning of new product development and the second one deals with factory model. Results: The holistic model presented main feedback loops and dynamics of main elements in the case of regional investment into sugar industry. The factory model considered the specifics of the beet processing which is a) limited period of beet processing and b) initial adjustment to the production capacity at the start of the production season Conclusions: The model seeks answers to strategic questions related to the whole sugar beet production and processing system and will be used for simulation of different scenarios for sugar production and their impact on economic and environmental parameters at an aggregate level.
Črtomir Rozman; Andrej Škraba; Karmen Pažek; Miroljub Kljajić. The Development of Sugar Beet Production and Processing Simulation Model – a System Dynamics Approach to Support Decision-Making Processes. orga 2014, 47, 99 -105.
AMA StyleČrtomir Rozman, Andrej Škraba, Karmen Pažek, Miroljub Kljajić. The Development of Sugar Beet Production and Processing Simulation Model – a System Dynamics Approach to Support Decision-Making Processes. orga. 2014; 47 (2):99-105.
Chicago/Turabian StyleČrtomir Rozman; Andrej Škraba; Karmen Pažek; Miroljub Kljajić. 2014. "The Development of Sugar Beet Production and Processing Simulation Model – a System Dynamics Approach to Support Decision-Making Processes." orga 47, no. 2: 99-105.
Janzekovic M.; Rozman C.; Pazek K.; Pevec P.. Mathematical Model for Balancing Feed Rations in Dairy Cows. DAAAM International Scientific Book 2013 2014, 13, 153 -162.
AMA StyleJanzekovic M., Rozman C., Pazek K., Pevec P.. Mathematical Model for Balancing Feed Rations in Dairy Cows. DAAAM International Scientific Book 2013. 2014; 13 ():153-162.
Chicago/Turabian StyleJanzekovic M.; Rozman C.; Pazek K.; Pevec P.. 2014. "Mathematical Model for Balancing Feed Rations in Dairy Cows." DAAAM International Scientific Book 2013 13, no. : 153-162.
During the 2008–2010 growing seasons, an alternative ‘zero residue apple production system’ was compared with integrated apple production with cvs ‘Idared’, ‘Golden Delicious’, ‘Jonagold’ and ‘Gala’ in commercial orchards at several locations throughout Slovenia, using data envelopment analysis (DEA), and multi criteria assessment by an analytical hierarchical process (AHP). The principle of the ‘zero residue apple production’ is a combination of integrated (IP) and organic apple production. During the first 3 months of the growing season (1 April–30 June), pesticides used in IP with rapid degradation (8–10 applications) were used to control pests and diseases. During the second part of the season from 1 July to harvest, organic products (6–12 applications) were employed compared with 19–25 applications overall in IP. The goal of the alternative system was to reduce the amount of applied conventional pesticides by 40 % and to minimize pesticide residues in fruits to below the limit of 0.5 % of the legal maximum residue level (MRL) or below the residue concentrations of 0.005–0.01 mg/kg and to retain the high long-term level of yield, fruit quality, and net income per hectare. The number of pesticide residues was reduced from 4.2–5.5 in IP to 1.8–3.4 in zero residue cultivation, while 3 year average yields (class 1 fruit) were 4–9 % lower than in IP. The break even prices ranged from € 0.31 for Idared in IP, € 0.34 for ‘Elstar’ of both production systems to € 0.35/kg for zero residue cultivated ‘Golden Delicious’. Overall, a price increase of just € 0.02/kg for residue free apples would make this new ‘zero residue apple production’ profitable then representing a realistic alternative to the standard integrated apple production system.
Črtomir Rozman; Tatjana Unuk; Karmen Pažek; Mario Lešnik; Jernej Prišenk; Andrej Vogrin; Stanislav Tojnko. Multi Criteria Assessment of Zero Residue Apple Production. Erwerbs-Obstbau 2013, 55, 51 -62.
AMA StyleČrtomir Rozman, Tatjana Unuk, Karmen Pažek, Mario Lešnik, Jernej Prišenk, Andrej Vogrin, Stanislav Tojnko. Multi Criteria Assessment of Zero Residue Apple Production. Erwerbs-Obstbau. 2013; 55 (2):51-62.
Chicago/Turabian StyleČrtomir Rozman; Tatjana Unuk; Karmen Pažek; Mario Lešnik; Jernej Prišenk; Andrej Vogrin; Stanislav Tojnko. 2013. "Multi Criteria Assessment of Zero Residue Apple Production." Erwerbs-Obstbau 55, no. 2: 51-62.