The paper presents the general architecture of a documentation and assisted research informatics system for vegetal genetics, dedicated to the educational and research institutions in this field. The main components are: the design and management of a data and knowledge base, database querying, statistical data processing, artificial intelligence applications. The plant description (the phenotype), the genetic hereditary heritage (the genotype) as well as the results of the experiments and researches performed in the vegetal field are fed into the system’s database within a predefined evolutionary self developing structure. Among the specific research problems in this field one can mention: population recognition and classification, plant disease diagnostication (barley species). The basis concept was inspired by the activity of Vegetal Gene Bank of Suceava.
assisted research,, vegetal genetics, phenotype, genotype, data and knowledge base, evolutionary structure, artificial intelligence, pattern recognition
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