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Agroecology in Slovenia
Ana Vovk, 2016, review article

Abstract: The article presents to agroecology (AE) as a sustainable approach in Slovenia. AE deals with contents as the ecology in agriculture, organic farming, sustainable agriculture, green agriculture, permaculture, ecoremediations, integrated farming and natural agriculture. According to the official definition the term AE means the use of traditional practices that are consistent with the characteristics of the local environment and do not limit only on food production, but also on food processing (recipes), products made from natural materials, especially wood, stone and construction as well as on ways of sustainable relationship to nature (water storage, attitude to water use, attitude to soil, shallow ploughing, attitudes toward animals, plants). We have discovered the concept of AE and its use in Slovenia. In Slovenia the term is limited to the understanding of the importance ecology in agriculture. The representatives of the Slovenian institutions of the Chamber of agriculture and forestry who have a similar project on the topic of AE, designed for agricultural consultants, having described different form of AE. In project Agroecology at the Faculty of Arts we develop educational modules for teaching AE in practise.
Keywords: agroecology, agriculture, ecoremediation, organic farming, permaculture
Published in DKUM: 16.04.2018; Views: 1306; Downloads: 138
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Ecological efficiency of production and the ecological footprint of organic agriculture
Matjaž Turinek, Maja Turinek, Silva Grobelnik Mlakar, Franc Bavec, Martina Bavec, 2010, review article

Abstract: The rising energy prices and climatic changes have intensified the search for alternative farming systems where energy consumption per unit would be lowered. A long-term field trial, started in 2007 at the University of Maribor, focuses on food quality and the ecological foot print of convential (CON), integrated (INT), organic (ORG) anf biodynamic (BD) systems in production of wheat (Triticum aestivum L.) and spelt (Triticum spelta L.), mainly due to the non-use of external synthetic production factors. When yields are added to the equation, the ORG and BD systems emerge also as more efficient per unit of land area. Thus, the ORG and BD system present viable alternatives for reducing the impact of agriculture on climate change, while ensuring a more sustainable food security.
Keywords: organic agriculture, biodynamic agriculture, ecological footprint, comparison of farming systems
Published in DKUM: 29.03.2018; Views: 1973; Downloads: 125
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New challenges for the organic farmers in India : tourism, spices and herbs
Ana Firmino, 2010, review article

Abstract: Organic Farming can offer the Indian farmers the possibility to get an added value to their products. Those operating in the Ponda region/Goa benefit from an historical background and highly preserved biodiversity that may entitle them in the future for a GIAHS (Globally Important Agricultural Heritage Systems) project which will prevent these scenic landscapes to be destroyed. The spice plantations are a live Natural Sciences and History lesson for everybody and an attraction for the tourists who find here a pleasant environment, rich flora and fauna, rural tourism, ayurvedic medical care and an array of leisure activities in contact with Nature.
Keywords: organic farming, spice plantations, sustainable development, rural tourism, India
Published in DKUM: 29.03.2018; Views: 1058; Downloads: 82
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Problems and perspectives of organic farming in Slovene Istria
Dane Podmenik, Simon Kerma, 2009, review article

Abstract: In Slovene Istria, natural conditions for the development of organic farming are good, though we have only witnessed the rise of organic farming over the last few years. Due to the lack of data related to organic farming in Slovene Istria, field-work was conducted in spring 2008 with some additional research in 2009. Questionnaires and interviews with organic farmers include various aspects: characteristics of their farming activities, demographic and socio-economic features, and others. The prevailing branches of organic farms in Slovene Istria are olive- growing and mixed production. We can also mention a very high educational level of farmers and positive age-structure of households on organic farms. Possible perspectives related to organic farming in the studied area have been discussed in the conclusion of the paper.
Keywords: Slovene Istria, Slovenia, rural areas, sustainable development, organic farming
Published in DKUM: 26.03.2018; Views: 1525; Downloads: 85
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Validation of agent-based approach for simulating the conversion to organic farming
Črtomir Rozman, Andrej Škraba, Karmen Pažek, Davorin Kofjač, 2017, original scientific article

Abstract: 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.
Keywords: agent-based models, organic farming, system dynamics, validation, multimethod simulation
Published in DKUM: 01.09.2017; Views: 1737; Downloads: 405
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The use of image-spectroscopy technology as a diagnostic method for seed health test and variety identification
Martina Vrešak, Halkjaer Olesen, René Gislum, Franc Bavec, Ravn Jørgensen, 2016, original scientific article

Abstract: Application of rapid and time-efficient health diagnostic and identification technology in the seed industry chain could accelerate required analysis, characteristic description and also ultimately availability of new desired varieties. The aim of the study was to evaluate the potential of multispectral imaging and single kernel near-infrared spectroscopy (SKNIR) for determination of seed health and variety separation of winter wheat (Triticum aestivum L.) and winter triticale (Triticosecale Wittm. & Camus). The analysis, carried out in autumn 2013 at AU-Flakkebjerg, Denmark, included nine winter triticale varieties and 27 wheat varieties provided by the Faculty of Agriculture and Life Sciences Maribor, Slovenia. Fusarium sp. and black point disease-infected parts of the seed surface could successfully be distinguished from uninfected parts with use of a multispectral imaging device (405%970 nm wavelengths). SKNIR was applied in this research to differentiate all 36 involved varieties based on spectral differences due to variation in the chemical composition. The study produced an interesting result of successful distinguishing between the infected and uninfected parts of the seed surface. Furthermore, the study was able to distinguish between varieties. Together these components could be used in further studies for the development of a sorting model by combining data from multispectral imaging and SKNIR for identifying disease(s) and varieties.
Keywords: Fusarium sp., SKNIR, multispectral imaging, varieties, wheat, organic farming
Published in DKUM: 19.06.2017; Views: 1346; Downloads: 198
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The Decision support system for supplementary activies on organic farms
Karmen Pažek, Črtomir Rozman, 2007, original scientific article

Abstract: In this paper we present the decision support system for ranking food processing projects on organic farms. The system is based on simulation modeling and multi criteria decision analysis. The deterministic simulation system KARSIM EKO 1.0 (DSM) consists out of deterministic production simulation models that enable different types of costs calculations for organic production and on farm food processing in the framework of supplementary activities. Simulation models results were further evaluated using a qualitative multi-attribute modeling methodology, supported by the software tool DEX-i and quantitative analytical hierarchical process - AHP, supported by Expert Choice 2000 TM software. The analysis showed that by using current model input parameter the combination of apple cider, apple vinegar and plum brandy (business alternative 1) results with the best multicriteria evaluation (EC=0,413 and DEX-i evaluation = very good).
Keywords: simulation modeling, KARSIM EKO 1.0, expert choice (AHP), DEX-i, organic farming, suplementary activities
Published in DKUM: 10.07.2015; Views: 1331; Downloads: 51
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Microbial food safety standards in organic farming : a review
Avrelija Cencič, Andreja Borec, 2007, review article

Abstract: Microbial food safety standards in organic farming
Keywords: organic farming, microbial risk, food safety
Published in DKUM: 10.07.2015; Views: 1636; Downloads: 17
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System dynamics model for policy scenarios of organic farming development
Črtomir Rozman, Karmen Pažek, Jernej Prišenk, Andrej Škraba, Miroljub Kljajić, 2012, original scientific article

Abstract: 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.
Keywords: organic farming, system dynamics, simulation, model
Published in DKUM: 10.07.2015; Views: 1720; Downloads: 353
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