Author_Institution :
Sch. of Inf. Technol., Jilin Agric. Univ., Changchun, China
Abstract :
In order to solve knowledge ambiguity, dynamic, dependence and uncertainty of agriculture production, this paper using computer modeling and visualization techniques, combined with artificial intelligence, database, intelligent information systems, decision support systems and network technology development of ginseng production intelligent decision-making system, and applied to the field of ginseng production, for the traditional ginseng cultivation has injected new vigor and vitality, the system research to improve the ginseng yield, the production efficiency, the effective use of resources, reduce production costs and environmental pollution, which has the important theory significance and application value, but also suitable for exploring the ginseng normalization, intelligence, visualization and dynamic production method provides the scientific method and basis theoretical.
Keywords :
agriculture; artificial intelligence; data visualisation; decision making; decision support systems; environmental factors; production engineering computing; agriculture production; artificial intelligence; computer modeling; database; decision support systems; dynamic production method; environmental pollution; ginseng cultivation; ginseng normalization; ginseng production intelligent decision-making system; intelligent information systems; production cost reduction; production efficiency; visualization technology application; Agriculture; Analytical models; Diseases; Expert systems; Predictive models; Production; dynamic; intelligent information systems; rule model; visualization technology;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on