| | SLO | ENG | Piškotki in zasebnost

Večja pisava | Manjša pisava

Iskanje po katalogu digitalne knjižnice Pomoč

Iskalni niz: išči po
išči po
išči po
išči po
* po starem in bolonjskem študiju


1 - 10 / 13
Na začetekNa prejšnjo stran12Na naslednjo stranNa konec
Organic farming and food production
2012, znanstvena monografija

Ključne besede: organic farming, food production
Objavljeno: 10.07.2015; Ogledov: 760; Prenosov: 82
URL Povezava na celotno besedilo

Organic farming and food production
2012, znanstvena monografija

Ključne besede: organic farming, food production
Objavljeno: 10.07.2015; Ogledov: 533; Prenosov: 68
URL Povezava na celotno besedilo

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: 909; Prenosov: 241
.pdf Celotno besedilo (350,71 KB)
Gradivo ima več datotek! Več...

Microbial food safety standards in organic farming
Avrelija Cencič, Andreja Borec, 2007, pregledni znanstveni članek

Opis: Microbial food safety standards in organic farming
Ključne besede: organic farming, microbial risk, food safety
Objavljeno: 10.07.2015; Ogledov: 764; Prenosov: 7
URL Povezava na celotno besedilo

The Decision support system for supplementary activies on organic farms
Karmen Pažek, Črtomir Rozman, 2007, izvirni znanstveni članek

Opis: 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).
Ključne besede: simulation modeling, KARSIM EKO 1.0, expert choice (AHP), DEX-i, organic farming, suplementary activities
Objavljeno: 10.07.2015; Ogledov: 656; Prenosov: 28
URL Povezava na celotno besedilo

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, izvirni znanstveni članek

Opis: 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.
Ključne besede: Fusarium sp., SKNIR, multispectral imaging, varieties, wheat, organic farming
Objavljeno: 19.06.2017; Ogledov: 575; Prenosov: 98
.pdf Celotno besedilo (2,10 MB)
Gradivo ima več datotek! Več...

Validation of agent-based approach for simulating the conversion to organic farming
Črtomir Rozman, Andrej Škraba, Karmen Pažek, Davorin Kofjač, 2017, izvirni znanstveni članek

Opis: 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.
Ključne besede: agent-based models, organic farming, system dynamics, validation, multimethod simulation
Objavljeno: 01.09.2017; Ogledov: 778; Prenosov: 285
.pdf Celotno besedilo (798,59 KB)
Gradivo ima več datotek! Več...

Problems and perspectives of organic farming in Slovene Istria
Dane Podmenik, Simon Kerma, 2009, pregledni znanstveni članek

Opis: 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.
Ključne besede: Slovene Istria, Slovenia, rural areas, sustainable development, organic farming
Objavljeno: 26.03.2018; Ogledov: 406; Prenosov: 45
.pdf Celotno besedilo (174,03 KB)
Gradivo ima več datotek! Več...

Iskanje izvedeno v 0.25 sek.
Na vrh
Logotipi partnerjev Univerza v Mariboru Univerza v Ljubljani Univerza na Primorskem Univerza v Novi Gorici