Most of expert knowledge in agriculture is descriptive and experiential, so it is difficult to describe in mathematics and build decision support system (DSS) for greenhouse. Therefore, the decision support system (DSS) for greenhouse constructed of data warehouse and date mining technology was introduced in this paper. In the system, data warehouse was founded to memory diversified date, the using of on-line analytical processing and date mining enriches knowledge base with new agriculture information. Implementation of system adopted SQL Server analysis, as a result, tightness coupling of data warehouse, date mining and application, improved efficiency of date mining. Combined data warehouse with on-line analytical processing and date mining to construct a novel DSS.
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Wang, C., Wang, L., Dong, P., Qiao, X. (2008). Research of Decision Support System (DSS) for Greenhouse Based on Data Mining. In: Li, D. (eds) Computer And Computing Technologies In Agriculture, Volume II. CCTA 2007. The International Federation for Information Processing, vol 259. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77253-0_40
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DOI: https://doi.org/10.1007/978-0-387-77253-0_40
Publisher Name: Springer, Boston, MA
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