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Model evaluation of quality attributes for hops (Humulus lupulus L.) Agrociencia
Pavlovic,Martin; Pavlovic,Viljem.
Hops (Humulus lupulus L.) ate vital fot the brewing industry, as they contribute significantly to the organoleptic qualities of beet, including taste and flavor. Experimental hop breeding data from the Slovenian Institute of Hop Research and Brewing (IHPS) were used to create a model based on the multi-attribute decision modeling methodology. The model has 18 attributes hierarchically grouped within four main attributes: Biology, Chemistry, Morphology and Brewing value. Furthermore, utility functions in the model were defined by sets of elementary decision rules throughout the entire hierarchy for all aggregated attributes. The central part of the model contains 144 decision rules, which were specified according to the model users' previous breeding...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Hop industry; Breeding; Decision-making; Model; IHPS.
Ano: 2011 URL: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-31952011000300007
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Role of automation agents in agribusiness decision support systems Agrociencia
Pavlovic,Martin; Koumboulis,Fotis N.; Tzamtzi,Maria P.; Rozman,Crtomir.
Various automation agents can be embedded in a modern Decision Support System in agriculture, based on the following design approaches: E-Learning Agent, Monitoring Agent, Fault Diagnosis Agent, Weather Information Agent, E-Commerce Agent and Logistics Agent. The proposed Agents contribute to farmers' education, to timely correct fault diagnosis and the incorporation of modern agricultural techniques. Moreover, they allow processing historical data, while taking into account several factors in order to support decision making. The preliminary Automation Agents for Decision Support Systems (AADSS) model idea may be applied to various agribusiness activities on international level. Moreover, an operator agent is proposed, that exploits technological and...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Applied computer modelling; Decision support systems; Forecasting; IHGC; Information management.
Ano: 2008 URL: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-31952008000800006
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