Knowledge engineering approach for the analysis of viticulture

摘要: The sustainable development of agricultural regions requires a methodical approach that will make viable land management system policy in practice. In this regard, distinctive contextual characteristics country (remarkable areas for raising the regional products) could be taken into account order to promote good character outputs and increase added value considered lands. manuscript primarily describes qualitative quantitative terms mechanism synthesizing information about wine production therefore provides sufficient substantive treatment or other interactions. Firstly, presents discussion many factors affect production, secondly, focus is more on an integrated using numerical symbolic reasoning. Geoviticulture Multicriteria Climatic Classification (MCC) System engaged with methodology comprising three viticultural climatic indexes different natures: hydric type (dryness index), heliothermal (Huglin Nictothermal (Cold Night Index). knowledge representation symbolized conceptual graphs formalism reasoning mechanisms are based graph operations. A visual focuses decision process would seem appropriate practice support. addition, Decision Support (DSS) component illustrated case study Croatia republic very broad characterizations its main grape varieties.